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Several discussions highlight the study's findings, mentioning how algorithms reliant on healthcare costs as a proxy can lead to biased healthcare access. Users frequently refer to phrases like "systemic racism" and call for models that focus on actual health outcomes instead of historical expenditures. The tone is serious yet hopeful, indicating a clear consensus on the need for reform.
Most discussions indicate a general agreement with the article's conclusions, recognizing the critical issue of racial bias in healthcare algorithms.
The topic has sparked significant curiosity, with many participants expressing eagerness to learn more about the implications of the research.
A moderate level of engagement is evident; many users refer to specific methodologies and implications, though not all discussions delve deeply into the nuances.
There's a strong consensus that the publication has the potential to bring about significant changes in healthcare practices regarding racial equity.
Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 Nominate your favorites! (data science here is broadly defined) (feel free to reshare)
No. This is a note I got from a student in public policy today. (The paper they are referring to is “Dissecting racial bias in an algorithm used to manage the health of populations”). https://t.co/8CNc6PD8pj https://t.co/L4JfBzZ2tf
Dr. Ziad Obermeyer (@oziadias) reflects on how AI algorithms can mirror societal biases while discussing his 2019 Science paper entitled “Dissecting racial bias in an algorithm used to manage the health of populations.” Listen to the full episode: https://t.co/sPaK8rgG5L https://t.co/S8bVkT4pHS
Addressing the algorithmic bias in health care could increase the percentage of Black patients receiving additional help from 17.7% to 46.5%. The study calls for a shift from predicting costs to predicting health outcomes: https://t.co/8oczEPVjsx
En 2019, se descubrió sesgo racista en el algoritmo utilizado para predecir la atención médica de 200 millones de personas al año en EEUU. Este sesgo se producía porque el algoritmo usaba el historial de costes de atención médica para sus predicciones https://t.co/EsLl2uHK5z
Resources curated for today’s #AIMART (articles, books, podcast, video)
The technology we use daily is designed with men in mind, from mobile phones to AI. This video presents real evidence of how technology favors men and explores the implications for gender equality. Discover what can be…
This video features Robert Harrington MD and Jenine John discussing AI and machine learning in healthcare, focusing on critical issues like racial bias in algorithms. Remedying these biases is essential to ensure…
@LizzieM12807558 @BarterBlex @BookerGWash @grok For your review https://t.co/VOlsOy1PwT
@Tina22_2 @TheAliceSmith @elonmusk https://t.co/CvJkLFhmW1
⚠️ Alerta Ético: Algoritmos de IA podem perpetuar desigualdades raciais na saúde. Estudo chave mostrou viés em algoritmo amplamente usado nos EUA, subestimando necessidades de pacientes negros. Fonte: Obermeyer et al., Science Link: https://t.co/2dPHoSKQTr
Dissecting racial bias in an algorithm used to manage the health of populations | Science https://t.co/ftWdmLv8dg
@jsm2334 @lifebiomedguru Also only attempts to prove Wakefield wrong. Uses a very roundabout methology. Uses a racially biased database (Optum) https://t.co/2BptORpyYN The study was also done by employees of Optum. It is as if these studies only had one express purpose (prove Wakefield wrong).
Algorithmic bias in workplace tech is leading to significant racial biases, favoring certain groups and limiting access to necessary support; correcting it would raise Black patient aid from 17.7% to 46.5%. https://t.co/3qaTIjnvpr Study:https://t.co/Ek2qlOPhwd
@warcrimes74 @cyclone8974 @Stephen_Fremel @johnineurope321 @MichaelAArouet @ValuingDutchman Would you give arguments instead of just being mean ? Btw here are studies proving my claim : https://t.co/JyYAcMPP9k https://t.co/eBJ67vvxTH I can provide more insight if you want to.
@haralabob He is actually right to some extent. ML for example sometimes can lead to bias results. To illustrate the idea I suggest a quick read of this 7 pages article by Obermeyer et al.: Dissecting racial bias in an algorithm used to manage the health of populations.
loved reading https://t.co/YcpOZmdjvp it is incredibly well written with an obvious focus on science communication for a very complex medical AI field.
Obermeyer et al. encontram evidências de preconceito racial em um algoritmo amplamente usado, de modo que pacientes negros atribuídos ao mesmo nível de risco pelo algoritmo são mais doentes do que pacientes brancos. https://t.co/DGXQBbCKe3
This is a good ex of black box AI reflecting and compounding systemic racism Here, Black pts were less likely to be referred for a health intervention than White pts, because the AI tools predicted health need based on historical medical expenditures https://t.co/h9iFPHcLUR
It is known that non representative data is source of bias. Note that wrong problem statement formulation can also be the root cause. https://t.co/8l1I2B5GlP
https://t.co/nWYKuEAph6
No. This is a note I got from a student in public policy today. (The paper they are referring to is “Dissecting racial bias in an algorithm used to manage the health of populations”). https://t.co/8CNc6PD8pj https://t.co/L4JfBzZ2tf
@ben_golub @aryehazan here's an example: programmers thought it was a good idea to use money as a proxy for healthcare need and ended up making the problem they were trying to solve worse (this is very common when algorithms are used to solve social problems) https://t.co/RPxSbREmUD
@Christi57479482 @matteocontini2 @micheleboldrin Esistono fiumi di letteratura scientifica sull'argomento e il dibattito resta aperto. Gli esempi: -https://t.co/uyJzcBdeN4 -https://t.co/GeWGqS3CHl
RT @MaraAlyseGH: Definitely incorporating this into my intro to health care systems course next semester, along with this one. https://t.co…
Definitely incorporating this into my intro to health care systems course next semester, along with this one. https://t.co/8ZSNngAFv6 https://t.co/rLx9pC0BGz
RT @RyansMom2: This paper is from 2019 and still a must read for my students: https://t.co/rKFBS08zg1
This paper is from 2019 and still a must read for my students: https://t.co/rKFBS08zg1
@Scobleizer I’m sorry about your loss, and I know we have had this discussion before. My issue is with putting AI out there before vetting it appropriately. I want it to not cause more harm. How many patients were harmed by this: https://t.co/swk7tkMyS0 or this: https://t.co/G648GX66oK
9- Mitigate race and gender bias. Since data is not really representative of minority groups, bias might exist and it is good to be aware of this and evaluate its effects. Check: https://t.co/zdS7t3T1xD
Thanks @Dr_Hightower for drawing attention to this @ScienceMagazine paper about bias in AI during your @ncats_nih_gov #CTSA presentation. https://t.co/0h1PKfGmBF
This is not true. Here are two large ones in healthcare. https://t.co/pWX7HD37Hl https://t.co/eKvxaqCfQz https://t.co/uWGVqtWi8o
3. "Dissecting racial bias in an algorithm used to manage the health of populations" Science, 2019. by @oziadias @brianwpowers Christine Vogeli @m_sendhil https://t.co/PeQDbwWXZi https://t.co/Xe7g2VBUFI
RT @NEJM_AI: Dr. Ziad Obermeyer (@oziadias) reflects on how AI algorithms can mirror societal biases while discussing his 2019 Science pape…
RT @NEJM_AI: Dr. Ziad Obermeyer (@oziadias) reflects on how AI algorithms can mirror societal biases while discussing his 2019 Science pape…
RT @NEJM_AI: Dr. Ziad Obermeyer (@oziadias) reflects on how AI algorithms can mirror societal biases while discussing his 2019 Science pape…
RT @NEJM_AI: Addressing the algorithmic bias in health care could increase the percentage of Black patients receiving additional help from…
RT @NEJM_AI: Addressing the algorithmic bias in health care could increase the percentage of Black patients receiving additional help from…
RT @NEJM_AI: Addressing the algorithmic bias in health care could increase the percentage of Black patients receiving additional help from…
RT @NEJM_AI: Dr. Ziad Obermeyer (@oziadias) reflects on how AI algorithms can mirror societal biases while discussing his 2019 Science pape…
RT @NEJM_AI: Addressing the algorithmic bias in health care could increase the percentage of Black patients receiving additional help from…
RT @NEJM_AI: Dr. Ziad Obermeyer (@oziadias) reflects on how AI algorithms can mirror societal biases while discussing his 2019 Science pape…
RT @NEJM_AI: Addressing the algorithmic bias in health care could increase the percentage of Black patients receiving additional help from…
RT @NEJM_AI: Addressing the algorithmic bias in health care could increase the percentage of Black patients receiving additional help from…
RT @NEJM_AI: Dr. Ziad Obermeyer (@oziadias) reflects on how AI algorithms can mirror societal biases while discussing his 2019 Science pape…
RT @NEJM_AI: Dr. Ziad Obermeyer (@oziadias) reflects on how AI algorithms can mirror societal biases while discussing his 2019 Science pape…
RT @NEJM_AI: Dr. Ziad Obermeyer (@oziadias) reflects on how AI algorithms can mirror societal biases while discussing his 2019 Science pape…
RT @NEJM_AI: Addressing the algorithmic bias in health care could increase the percentage of Black patients receiving additional help from…
RT @NEJM_AI: Dr. Ziad Obermeyer (@oziadias) reflects on how AI algorithms can mirror societal biases while discussing his 2019 Science pape…
RT @NEJM_AI: Dr. Ziad Obermeyer (@oziadias) reflects on how AI algorithms can mirror societal biases while discussing his 2019 Science pape…
Addressing the algorithmic bias in health care could increase the percentage of Black patients receiving additional help from 17.7% to 46.5%. The study calls for a shift from predicting costs to predicting health outcomes: https://t.co/8oczEPVjsx
Dr. Ziad Obermeyer (@oziadias) reflects on how AI algorithms can mirror societal biases while discussing his 2019 Science paper entitled “Dissecting racial bias in an algorithm used to manage the health of populations.” Listen to the full episode: https://t.co/sPaK8rgG5L https://t.co/S8bVkT4pHS
This paper from @oziadias highlights racial bias in a widely used health care algorithm predicting health care costs rather than actual illness. This results in Black patients being sicker than White patients at a given risk score: https://t.co/8oczEPVjsx
https://t.co/MjshTdRRMI https://t.co/sHCHS2dFbi
Contribution 4: We demonstrate our framework on the healthcare dataset released by Obermeyer et al. [Science 2019 https://t.co/ORjYTHwh6F] + provide semi-synthetic experiments to clarify how to improve fairness by moving to a multi-target setting
RT @mphermosilla: Es un honor escuchar al autor de uno de los papers más emblemáticos de sesgo algorítmico por uso de variables proxy @ozia…
Es un honor escuchar al autor de uno de los papers más emblemáticos de sesgo algorítmico por uso de variables proxy @oziadias quien destacó la importancia de la integración del conocimiento del dominio y de los datos para tener modelos justos #FAccT2023 https://t.co/jiaaC3Hjcc https://t.co/2ppEDgVcnf
@AmandaCoston @d19fe8 @zstevenwu As a motivating example, consider Obermeyer et al.'s work (https://t.co/wYG8M2YIP4), which shows how using cost of care as a proxy for medical need leads to discriminatory outcomes. (2/9)
"Millions of black people affected by Racial Bias in healthcare algorithms" https://t.co/56pEqnoIYe
RT @hmkyale: Terrific piece by @oziadias @m_sendhil and colleagues…Dissecting racial bias in an algorithm used to manage the health of popu…
RT @EricTopol: A widely used #AI algorithm that predicts health risk exemplifies automated racial bias https://t.co/F55XmYOuZW @oziadias @U…
RT @hernangraffe: https://t.co/B5ebbeXbV0
https://t.co/B5ebbeXbV0
The seminal algorithmic bias paper by Obermeyer in @ScienceMagazine 2019 #CIC23 https://t.co/JeKcodA5Nc
Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/mrIEr2IDzQ
@michael_nielsen These issues are percolating in the medical world and have been for a while. For example there was a paper by Obermeyer et al that demonstrated how focusing on a proxy metric could lead to very inequitable outcomes when deciding whether to escalate care. https://t.co/Z4GFfAeado
RT @ujue: En 2019, se descubrió sesgo racista en el algoritmo utilizado para predecir la atención médica de 200 millones de personas al año…
En 2019, se descubrió sesgo racista en el algoritmo utilizado para predecir la atención médica de 200 millones de personas al año en EEUU. Este sesgo se producía porque el algoritmo usaba el historial de costes de atención médica para sus predicciones https://t.co/EsLl2uHK5z
@TiteKubo12 @boletimindigena https://t.co/vzgKEHivF9
@ml_barnett https://t.co/grPwKfNuxS
RT @avicgoldfarb: @WinnaPig @IRPP @perreaux @professor_ajay @joshgans Here's some research underlying the ideas of system-level change (rat…
@WinnaPig @IRPP @perreaux @professor_ajay @joshgans Here's some research underlying the ideas of system-level change (rather than point solutions in existing systems) to reduce bias: https://t.co/r5uz5KB2FQ; https://t.co/FXDUnOlwvr; https://t.co/IRaXycEf6x; https://t.co/6x96kFSKGL
Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/SqQNkM6Gr0
For example, @oziadias, @brianwpowers, Christine Vogeli, and @m_sendhil demonstrated bias against Black patients when a care management algorithm was targeted based on health care costs (aka utilization): https://t.co/uvmuNFOUNO 7/N
Dissecting racial bias in an algorithm used to manage the health of populations #aibias #algorithmicbias #health https://t.co/3sHL48NCXt
Really interesting paper on biases in algorithms! https://t.co/39oDFAd63A
@GeoffSchrecker @sib313 @DrBekkiR @DrSimonHodes @ksb79 @DrSelvarajah @NHSEngland @Parody_RCGP @DrNeenaJha @vanmellaerts @christheeagle1 @rcgp @Azeem_Majeed @Carolynyjohnson Here's the full article 'Dissecting racial bias in an algorithm used to manage the health of populations' https://t.co/rwAxSFdXyL via @m_sendhil et al
As @oziadias @brianwpowers @m_sendhil and co-authors show, data gaps can lead to bias and consequences for those not represented. "Solutions" based on One Medical data probably will not generalize. 2/2 https://t.co/gKyFGwvNA2
RT @MarilynHeineMD: Sloppy Use of #ML is Causing a ‘Reproducibility Crisis’ “Malik says he is most worried about the prospect of misapplie…
RT @MarilynHeineMD: Sloppy Use of #ML is Causing a ‘Reproducibility Crisis’ “Malik says he is most worried about the prospect of misapplie…
RT @MarilynHeineMD: Sloppy Use of #ML is Causing a ‘Reproducibility Crisis’ “Malik says he is most worried about the prospect of misapplie…
Sloppy Use of #ML is Causing a ‘Reproducibility Crisis’ “Malik says he is most worried about the prospect of misapplied #AI #algorithms causing real-world consequences, such as unfairly denying someone medical care.“ Witness: https://t.co/HrmZnUw1ND https://t.co/FCoQPzwaak
RT @mariadearteaga: In these cases, mitigating bias is very much aligned with the goal of improving utility estimation. A great example is…
In these cases, mitigating bias is very much aligned with the goal of improving utility estimation. A great example is the work “Dissecting racial bias”by @oziadias et al. https://t.co/aL9cNfl1vH 6/
@wesyang I thought the idea was that imperfect algorithmic prediction models would perpetuate bias? A la Obermeyer https://t.co/Za0cz2gPW9 ?
Side note [3/] This famous paper by @oziadias (https://t.co/CKYAarvg87) does a great job of demonstrating how label bias can be interrogated and accounted for in a calibration-based fairness evaluation
RT @JordanJamesEtem: Obermeyer Z, Powers B, Vogeli C, Mullainathan S. Dissecting racial bias in an algorithm used to manage the health of p…
RT @JordanJamesEtem: Obermeyer Z, Powers B, Vogeli C, Mullainathan S. Dissecting racial bias in an algorithm used to manage the health of p…
Obermeyer Z, Powers B, Vogeli C, Mullainathan S. Dissecting racial bias in an algorithm used to manage the health of populations. Science. 2019;366(6464):447–53. #PublicHealth #ArtificialIntelligence
https://t.co/ekXc77ekEN #bias #AI https://t.co/KFcy8pQPdl
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @ACMQueue: Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/HccVtwE6aH
@WeitzmanInst @SanjaybMDPhD @CrossRiverStrat @CHWNational @hwangc01 @DrKamLeigh @YalePsych @IncludedHealth @PennNursing @ceejhcenter @Driantong Studies from Dr. Basu regarding tech (esp AI) and equity: https://t.co/IvLiPyuRRs https://t.co/lzl2A5LzEw https://t.co/MKzXsufEoJ https://t.co/0GMzHBuKuD https://t.co/acNKB0wIBX
Alarming research published in @ScienceMagazine has found #AITechnology in #Healthcare has been discriminating against millions of black people when allocationg healthcare to patients. ➡️Read the full research article here: https://t.co/fbhSN8nGHv https://t.co/Zq4FZX8df5
RT @innodim: Resources curated for today’s #AIMART (articles, books, podcast, video)
RT @innodim: Resources curated for today’s #AIMART (articles, books, podcast, video)
RT @innodim: Resources curated for today’s #AIMART (articles, books, podcast, video)
RT @innodim: Resources curated for today’s #AIMART (articles, books, podcast, video)
RT @innodim: Resources curated for today’s #AIMART (articles, books, podcast, video)
RT @innodim: Resources curated for today’s #AIMART (articles, books, podcast, video)
RT @innodim: Resources curated for today’s #AIMART (articles, books, podcast, video)
RT @innodim: Resources curated for today’s #AIMART (articles, books, podcast, video)
RT @innodim: Resources curated for today’s #AIMART (articles, books, podcast, video)
RT @innodim: Resources curated for today’s #AIMART (articles, books, podcast, video)
Resources curated for today’s #AIMART (articles, books, podcast, video)
While risk stratification models can help personalize care, their use can worsen health inequities when models mis-estimate risk for some groups - as shown by @oziadias https://t.co/TGIoN6b4bf
@xcx_loona @razzrboy @arjunsubgraph @JanelleCShane This paper is a great example of that point: https://t.co/Kpm2c5bDK9 The algorithm exhibited racial bias, even though race was explicitly NOT used in the algorithm. Only by looking deeply into the code and the data were they able to pinpoint the source.
@acerbialberto But I still think that a likely consequence is the sort of instrumental inequity I mentioned. Ala this: https://t.co/5jrUVscipk
@AJHolmgren This paper was a poster at ARM https://t.co/tkcRihnbcC
And a *positive* ex.! Audit found racial bias against Black patients in health risk algo, bc it used proxy of health costs (but less $$ is spent on Black patients for ~= health need). Reformulating to not rely on proxy eliminated bias. https://t.co/VB5jnXwACz h/t @jengolbeck https://t.co/qEIlTJwZqJ
The problem is #structuralracism... #access to care even when all the patients are insured. Result: #Blackpatients who were sicker were not selected into the program appropriately b/c they have lower healthcare costs b/c they don't receive care. #fail https://t.co/9R3HyZ52rk 2/
@WYpartnership @richarddstubbs @YHAHSN The West Yorkshire & Harrogate ICS is not anti-racist - it welcomed UnitedHealth Group's Optum Population Health Management - that has a significant racial bias - or did they only 'help' system design? Will this provider be excluded from your ICS? https://t.co/kClwYqTqQ7
Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/tgYb211ctI
We all know that A.I. (artificial intelligence) is the future, but is it replicating nasty, racial biases of the past? Sources: https://t.co/Qx5Klb2YTf https://t.co/J4dsJYjiCE https://t.co/HKfEz9U1Tw #Healthcareinfluencernetwork #healthequity #healthtech #blackwomenintech https://t.co/9CdPADIRBk
Inspired by discussions at the Anti-Racism Studio at #ASH21 about systematic and quantifiable racial biases in healthcare, as evidenced by studies like this. Determined to help lead the next generation of doctors to do better. #healthdisparities https://t.co/UtuK1xfPNI
@prisonculture Do you know about the Algorithmic Bias Initiative? They recently published this article https://t.co/adECtpLARr and have a “playbook” to help consider how to understand and reduce bias in algorithms https://t.co/HQXazYCr88
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
RT @2plus2make5: Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 N…
Hello! I am looking for DATA SCIENCE PAPERS WHICH RESULTED IN (positive) REAL WORLD CHANGE eg: https://t.co/0dDHzbDUr4 Nominate your favorites! (data science here is broadly defined) (feel free to reshare)
@jenineharris @RLadiesGlobal Dissecting racial bias in an algorithm used to manage the health of populations. (Ziad 2019) https://t.co/PBEs20DTx9 The Risk of Racial Bias in Hate Speech Detection (Sap et al., 2019) https://t.co/KlMbLBXigy Maybe this intro from Raw Data is an oxymoron https://t.co/nBjXeBDvUb
@ShellenbergerMD @slsatel Wouldn't the counterargument be that studies have repeatedly shown that the medical system is biased against black patients, so those bioethics courses must not be doing their job? E.g., https://t.co/3OK976tBxY https://t.co/YslgEaGXcC https://t.co/ahkkgaIA6s
RT @ArtificialOther: Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/QEmQPYeX94
@HIMSS Several other recent publications have highlighted the source and impact of biased algorithms and models in healthcare: https://t.co/OtcAcsqIi1 https://t.co/PdkT9qzHtk
Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/QEmQPYeX94
@Dublin_kshankar @Dublin_kshankar, I think this is it: Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/1rf2yTJA5g
Label biases in high-risk care management algorithm --> Dissecting racial bias in an algorithm used to manage the health of populations (2019) https://t.co/DGU1fvGWHK
Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/HccVtwE6aH
Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/KNh2uw5uA2
Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/RgE1pgdtfr
Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/4luGjdBm9t
Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/X5zdJR8rWP #HolocaustMemorialDay #MLK #GrenfellTower #BlackLivesMatter #BidenHarris
Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/t7V8INMP84
#28 Dissecting racial bias in an algorithm used to manage the health of populations By Ziad Oberrmeyer, Brian Powers, Christine Vogeli, and Sendhil Mullainathan https://t.co/PMkK1HBOC1 #PaperPerDayChallenge
Similar risks to Optum's widely-used algorithm that flagged needy patients based on past health care costs, w/o accounting for disparities in access and therefore reinforcing racial bias: https://t.co/Sq4txxI14A
Dissecting racial bias in an algorithm used to manage the health of populations: https://t.co/eMl8ZKGLVd
@jefe_is_back The adjustment often leads to under diagnosed kidney disease. https://t.co/eRILvpY1jj https://t.co/N9iOlOWDB7
RT @cekahn: T3 One #AI system used health costs as a proxy for health needs. Because less money was spent on Black patients, AI falsely co…
RT @cekahn: T3 One #AI system used health costs as a proxy for health needs. Because less money was spent on Black patients, AI falsely co…
RT @cekahn: T3 One #AI system used health costs as a proxy for health needs. Because less money was spent on Black patients, AI falsely co…
RT @cekahn: T3 One #AI system used health costs as a proxy for health needs. Because less money was spent on Black patients, AI falsely co…
T3 One #AI system used health costs as a proxy for health needs. Because less money was spent on Black patients, AI falsely concluded that Black patients needed less care than equally sick White patients https://t.co/aK3B8M93fm #RadAIchat https://t.co/GNS4WennRv
Dissecting racial bias in an algorithm used to manage the health of populations Predicting patient risk level by predicting future healthcare costs produces racially disparate results b/c historically Black patients generate less healthcare costs. https://t.co/D4ZLAVYWec
Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/GaIZCXQdGZ
RT @atulbutte: So great to see @UCBerkeley faculty @OZiadias presenting tomorrow on "Public Health, Dissecting Racial Bias in an Algorithm…
RT @atulbutte: So great to see @UCBerkeley faculty @OZiadias presenting tomorrow on "Public Health, Dissecting Racial Bias in an Algorithm…
RT @atulbutte: So great to see @UCBerkeley faculty @OZiadias presenting tomorrow on "Public Health, Dissecting Racial Bias in an Algorithm…
RT @atulbutte: So great to see @UCBerkeley faculty @OZiadias presenting tomorrow on "Public Health, Dissecting Racial Bias in an Algorithm…
RT @atulbutte: So great to see @UCBerkeley faculty @OZiadias presenting tomorrow on "Public Health, Dissecting Racial Bias in an Algorithm…
So great to see @UCBerkeley faculty @OZiadias presenting tomorrow on "Public Health, Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations" at @FTC PrivacyCon 2020! https://t.co/e25J2aWfCG (HT @Cora777)
Dear Healthcare Providers, Share and ask, could this possibly be me? Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/vqZQdtvPsy @Oprah @tylerperry @tarajiphenson @RobinRoberts @andersoncooper @GMA @Kaepernick7 Please share
@PanAfricanLove @John54719441 Unfortunate - study quality skewed because of "paid" component. US D&F widely discourage $ clinical trials & studies because attract lower socio-economic strata thus diluting data reliability. Exclusions & location factors - obvious racial bias. Better - https://t.co/uocnVsnWx5
read on Obermeyer et al(2019). Dissecting racial bias in an algorithm used to manage the health of populations. Science https://t.co/dffofvxCAc Ginther et al.(2018) Publications as predictors of racial and ethnic differences in NIH research awards https://t.co/MvKJAsOWJs https://t.co/sTDDn2oMBC
Balaji Padmanabhan with @USFMuma #mumavirtual brings attention to this valuable piece: Dissecting racial bias in an algorithm used to manage the health of populations. https://t.co/wXpict3p9t
Recent example: Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/Sffqoiqypc
Part of my reading list for today - an important paper published just before the covid era #ShutDownSTEM #ShutDownAcademia #Strike4BlackLives: Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/uWGFilX9cX
From @oziadias @m_sendhil Dissecting racial bias in an algorithm used to manage the health of populations #AnnalsChat https://t.co/JWxsDmibSS
Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/Du8ZfjueAp
RT @moorejh: Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/nJIpw65Sq1 #race #ethnicity #bias
RT @moorejh: Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/nJIpw65Sq1 #race #ethnicity #bias
Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/nJIpw65Sq1 #race #ethnicity #bias
Los peligros de la IA... Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/FvFeg9VIhf
Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/ntwABbm7pJ
元論文は Science: Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/KFLZx7XwPC
Dissecting Racial Bias In An Algorithm Used To Manage The Health Of Populations: https://t.co/8il1Yrg7cO via: @sciencemagazine #healthcare #racialsocialjustice https://t.co/wAm0IGLOUV
Dissecting racial bias in an algorithm used to manage the health of populations | Science https://t.co/XfYohesFRQ #health #bias
Dissecting racial bias in an algorithm used to manage the health of populations. - PubMed - NCBI https://t.co/NVMoA43Yx6
RT @BrighamResearch: Coming in at no. 90 is "Dissecting racial bias in an algorithm used to manage the health of populations" from @oziadia…
Coming in at no. 90 is "Dissecting racial bias in an algorithm used to manage the health of populations" from @oziadias and colleagues #AltmetricTop100 https://t.co/PS3dNTvZ9n
@CanAm_Phil - Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/P1qhskcbtA
Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/9o1YpyVKPf Algorithms using cost data make the (ridiculous) assumption that patients with lower resource utilization must mean they are more healthy. Solutions however are way upstream.
This is very concerning! Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/W43mtfF6iL
Proud of my sister-in-law Christine Vogeli for this study published in @sciencemagazine. Critical information to keep in mind in the population health movement. Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/48Vhb7AvF7
Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/1CoMUxWG5W
Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/xHp3dsLWTb
RT @fborgesius: ”Biased Algorithms Are Easier to Fix Than Biased People”, says @m_sendhil, who co-authored that Science paper from October,…
RT @fborgesius: ”Biased Algorithms Are Easier to Fix Than Biased People”, says @m_sendhil, who co-authored that Science paper from October,…
#RT @AILawHub: RT @fborgesius: ”Biased Algorithms Are Easier to Fix Than Biased People”, says @m_sendhil, who co-authored that Science paper from October, “Dissecting racial bias in an algorithm used to manage the health of populations“ https://t.co/RKTB02Db9P
RT @fborgesius: ”Biased Algorithms Are Easier to Fix Than Biased People”, says @m_sendhil, who co-authored that Science paper from October,…
RT @fborgesius: ”Biased Algorithms Are Easier to Fix Than Biased People”, says @m_sendhil, who co-authored that Science paper from October,…
RT @fborgesius: ”Biased Algorithms Are Easier to Fix Than Biased People”, says @m_sendhil, who co-authored that Science paper from October,…
RT @fborgesius: ”Biased Algorithms Are Easier to Fix Than Biased People”, says @m_sendhil, who co-authored that Science paper from October,…
”Biased Algorithms Are Easier to Fix Than Biased People”, says @m_sendhil, who co-authored that Science paper from October, “Dissecting racial bias in an algorithm used to manage the health of populations“ https://t.co/n9shPKyrC8
Dissecting racial bias in an algorithm used to manage the health of populations https://t.co/42dpQTs7F1
Dissecting racial bias in an algorithm used to manage the health of populations: https://t.co/ARsyFKyZbc > More similar content at https://t.co/vZAXBORBVY #Sciences
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