Publications by authors named "Supreeth Shashikumar"

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Quantifying Healthcare Provider Perceptions of a Novel Deep Learning Algorithm to Predict Sepsis: Electronic Survey.
Karthik Ramesh, Aaron Boussina, Supreeth P Shashikumar, Atul Malhotra, Christopher A Longhurst

Crit Care Explor· June 2025

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Development and prospective implementation of a large language model based system for early sepsis prediction.
Supreeth P Shashikumar, Sina Mohammadi, Rishivardhan Krishnamoorthy, Avi Patel, Gabriel Wardi

NPJ Digit Med· May 2025

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Development and Prospective Implementation of a Large Language Model based System for Early Sepsis Prediction.
Supreeth P Shashikumar, Sina Mohammadi, Rishivardhan Krishnamoorthy, Avi Patel, Gabriel Wardi

medRxiv· March 2025

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Development, deployment, and continuous monitoring of a machine learning model to predict respiratory failure in critically ill patients.
Jonathan Y Lam, Xiaolei Lu, Supreeth P Shashikumar, Ye Sel Lee, Michael Miller

JAMIA Open· December 2024

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A Prospective Comparison of Large Language Models for Early Prediction of Sepsis.
Supreeth P Shashikumar, Shamim Nemati

Pac Symp Biocomput· December 2024

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Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission prediction.
Vishal Nagarajan, Supreeth Prajwal Shashikumar, Atul Malhotra, Shamim Nemati, Gabriel Wardi

J Am Med Inform Assoc· November 2024

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The impact of laboratory data missingness on sepsis diagnosis timeliness.
Jonathan Y Lam, Aaron Boussina, Supreeth P Shashikumar, Robert L Owens, Shamim Nemati

JAMIA Open· October 2024

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Development and validation of a deep learning algorithm for the prediction of serum creatinine in critically ill patients.
Ghodsieh Ghanbari, Jonathan Y Lam, Supreeth P Shashikumar, Linda Awdishu, Karandeep Singh

JAMIA Open· October 2024

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Development and Validation of a Deep Learning Model for Prediction of Adult Physiological Deterioration.
Supreeth P Shashikumar, Joshua Pei Le, Nathan Yung, James Ford, Karandeep Singh

Crit Care Explor· September 2024

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Improving Prediction of Need for Mechanical Ventilation using Cross-Attention.
Anwesh Mohanty, Supreeth P Shashikumar, Jonathan Y Lam, Shamim Nemati

Annu Int Conf IEEE Eng Med Biol Soc· July 2024

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Prediction of Readmission Following Sepsis Using Social Determinants of Health.
Fatemeh Amrollahi, Brent D Kennis, Supreeth Prajwal Shashikumar, Atul Malhotra, Stephanie Parks Taylor

Crit Care Explor· June 2024

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Author Correction: Impact of a deep learning sepsis prediction model on quality of care and survival.
Aaron Boussina, Supreeth P Shashikumar, Atul Malhotra, Robert L Owens, Robert El-Kareh

NPJ Digit Med· June 2024

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Voice-Enabled Response Analysis Agent (VERAA): Leveraging Large Language Models to Map Voice Responses in SDoH Survey.
Rishivardhan Krishnamoorthy, Vishal Nagarajan, Hayden Pour, Supreeth P Shashikumar, Aaron Boussina

AMIA Jt Summits Transl Sci Proc· May 2024

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Impact of a deep learning sepsis prediction model on quality of care and survival.
Aaron Boussina, Supreeth P Shashikumar, Atul Malhotra, Robert L Owens, Robert El-Kareh

NPJ Digit Med· January 2024

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Making the Improbable Possible: Generalizing Models Designed for a Syndrome-Based, Heterogeneous Patient Landscape.
Joshua Pei Le, Supreeth Prajwal Shashikumar, Atul Malhotra, Shamim Nemati, Gabriel Wardi

Crit Care Clin· October 2023

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Voice-Enabled Response Analysis Agent (VERAA): Leveraging Large Language Models to Map Voice Responses in SDoH Survey.
Rishivardhan Krishnamoorthy, Vishal Nagarajan, Hayden Pour, Supreeth P Shashikumar, Aaron Boussina

medRxiv· September 2023

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Unsupervised Detection and Correction of Model Calibration Shift at Test-Time.
Supreeth P Shashikumar, Fatemeh Amrollahi, Shamim Nemati

Annu Int Conf IEEE Eng Med Biol Soc· July 2023

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Development & Deployment of a Real-time Healthcare Predictive Analytics Platform.
Aaron Boussina, Supreeth Shashikumar, Fatemeh Amrollahi, Hayden Pour, Michael Hogarth

Annu Int Conf IEEE Eng Med Biol Soc· July 2023

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Predicting Hospital Readmission among Patients with Sepsis Using Clinical and Wearable Data.
Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Aaron Boussina, Haben Yhdego, Arshia Nayebnazar

Annu Int Conf IEEE Eng Med Biol Soc· July 2023

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Representation Learning and Spectral Clustering for the Development and External Validation of Dynamic Sepsis Phenotypes: Observational Cohort Study.
Aaron Boussina, Gabriel Wardi, Supreeth Prajwal Shashikumar, Atul Malhotra, Kai Zheng

J Med Internet Res· June 2023

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Development & Deployment of a Real-time Healthcare Predictive Analytics Platform.
Aaron Boussina, Supreeth Shashikumar, Fatemeh Amrollahi, Hayden Pour, Michael Hogarth

medRxiv· April 2023

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Predicting Hospital Readmission among Patients with Sepsis using Clinical and Wearable Data.
Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Haben Yhdego, Arshia Nayebnazar, Nathan Yung

medRxiv· April 2023

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Prediction of Unplanned Hospital Readmission using Clinical and Longitudinal Wearable Sensor Features.
Haben H Yhdego, Arshia Nayebnazar, Fatemeh Amrollahi, Aaron Boussina, Supreeth Shashikumar

medRxiv· April 2023

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Optimizing the Implementation of Clinical Predictive Models to Minimize National Costs: Sepsis Case Study.
Parker Rogers, Aaron E Boussina, Supreeth P Shashikumar, Gabriel Wardi, Christopher A Longhurst

J Med Internet Res· February 2023

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Leveraging clinical data across healthcare institutions for continual learning of predictive risk models.
Fatemeh Amrollahi, Supreeth P Shashikumar, Andre L Holder, Shamim Nemati

Sci Rep· May 2022

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