Publications by authors named "Ritankar Das"

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Quality of life in a family-centric applied behavior analysis model: A case series study.
Madalina Ciobanu, Gina Barnes, Natalie J Castell, Robert P Adelson, Anurag Garikipati, Ritankar Das

PLoS One· August 2025

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Parent-Led Applied Behavior Analysis to Impact Clinical Outcomes for Individuals on the Autism Spectrum: Retrospective Chart Review.
Anurag Garikipati, Madalina Ciobanu, Navan Preet Singh, Gina Barnes, Frank A Dinenno, Ritankar Das

JMIR Pediatr Parent· October 2024

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OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models.
Jenish Maharjan, Anurag Garikipati, Navan Preet Singh, Leo Cyrus, Mayank Sharma, Ritankar Das

Sci Rep· June 2024

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Family-Centric Applied Behavior Analysis Promotes Sustained Treatment Utilization and Attainment of Patient Goals.
Robert P Adelson, Madalina Ciobanu, Anurag Garikipati, Natalie J Castell, Gina Barnes, Ritankar Das

Cureus· June 2024

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Machine Learning Approach with Harmonized Multinational Datasets for Enhanced Prediction of Hypothyroidism in Patients with Type 2 Diabetes.
Robert P Adelson, Anurag Garikipati, Yunfan Zhou, Madalina Ciobanu, Ken Tawara, Ritankar Das

Diagnostics (Basel)· May 2024

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Family-Centric Applied Behavior Analysis Facilitates Improved Treatment Utilization and Outcomes.
Robert P Adelson, Madalina Ciobanu, Anurag Garikipati, Natalie J Castell, Navan Preet Singh, Ritankar Das

J Clin Med· April 2024

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Machine Learning Approach for Improved Longitudinal Prediction of Progression from Mild Cognitive Impairment to Alzheimer's Disease.
Robert P Adelson, Anurag Garikipati, Jenish Maharjan, Madalina Ciobanu, Gina Barnes, Ritankar Das

Diagnostics (Basel)· December 2023

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Machine learning determination of applied behavioral analysis treatment plan type.
Jenish Maharjan, Anurag Garikipati, Frank A Dinenno, Madalina Ciobanu, Gina Barnes, Ritankar Das

Brain Inform· March 2023

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Clinical Outcomes of a Hybrid Model Approach to Applied Behavioral Analysis Treatment.
Anurag Garikipati, Madalina Ciobanu, Navan Preet Singh, Gina Barnes, Jenna Decurzio, Ritankar Das

Cureus· March 2023

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Mortality, disease progression, and disease burden of acute kidney injury in alcohol use disorder subpopulation.
Jenish Maharjan, Sidney Le, Abigail Green-Saxena, Manan Khattar, Jacob Calvert, Ritankar Das

Am J Med Sci· July 2022

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Early prediction of central line associated bloodstream infection using machine learning.
Keyvan Rahmani, Anurag Garikipati, Gina Barnes, Jana Hoffman, Jacob Calvert, Ritankar Das

Am J Infect Control· April 2022

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Predicting Falls in Long-term Care Facilities: Machine Learning Study.
Rahul Thapa, Anurag Garikipati, Sepideh Shokouhi, Myrna Hurtado, Gina Barnes, Ritankar Das

JMIR Aging· April 2022

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A comparative analysis of machine learning approaches to predict C. difficile infection in hospitalized patients.
Saarang Panchavati, Nicole S Zelin, Anurag Garikipati, Emily Pellegrini, Zohora Iqbal, Ritankar Das

Am J Infect Control· March 2022

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Machine learning to predict progression of non-alcoholic fatty liver to non-alcoholic steatohepatitis or fibrosis.
Sina Ghandian, Rahul Thapa, Anurag Garikipati, Gina Barnes, Abigail Green-Saxena, Ritankar Das

JGH Open· March 2022

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Early prediction of severe acute pancreatitis using machine learning.
Rahul Thapa, Zohora Iqbal, Anurag Garikipati, Anna Siefkas, Jana Hoffman, Ritankar Das

Pancreatology· January 2022

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Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus.
Angier Allen, Zohora Iqbal, Abigail Green-Saxena, Myrna Hurtado, Jana Hoffman, Ritankar Das

BMJ Open Diabetes Res Care· January 2022

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Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm.
Jenish Maharjan, Yasha Ektefaie, Logan Ryan, Samson Mataraso, Gina Barnes, Ritankar Das

Front Neurol· January 2022

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Predicting pulmonary embolism among hospitalized patients with machine learning algorithms.
Logan Ryan, Jenish Maharjan, Samson Mataraso, Gina Barnes, Jana Hoffman, Ritankar Das

Pulm Circ· January 2022

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Application of deep learning to identify COVID-19 infection in posteroanterior chest X-rays.
Jenish Maharjan, Jacob Calvert, Emily Pellegrini, Abigail Green-Saxena, Jana Hoffman, Ritankar Das

Clin Imaging· December 2021

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Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratification.
Saarang Panchavati, Carson Lam, Nicole S Zelin, Emily Pellegrini, Gina Barnes, Ritankar Das

Healthc Technol Lett· December 2021

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A machine learning approach to predicting risk of myelodysplastic syndrome.
Ashwath Radhachandran, Anurag Garikipati, Zohora Iqbal, Anna Siefkas, Gina Barnes, Ritankar Das

Leuk Res· October 2021

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Personalized stratification of hospitalization risk amidst COVID-19: A machine learning approach.
Carson Lam, Jacob Calvert, Anna Siefkas, Gina Barnes, Emily Pellegrini, Ritankar Das

Health Policy Technol· September 2021

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Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study.
Carson Lam, Chak Foon Tso, Abigail Green-Saxena, Emily Pellegrini, Zohora Iqbal, Ritankar Das

JMIR Form Res· September 2021

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Predicting ventilator-associated pneumonia with machine learning.
Christine Giang, Jacob Calvert, Keyvan Rahmani, Gina Barnes, Anna Siefkas, Ritankar Das

Medicine (Baltimore)· June 2021

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Convolutional Neural Network Model for Intensive Care Unit Acute Kidney Injury Prediction.
Sidney Le, Angier Allen, Jacob Calvert, Paul M Palevsky, Gregory Braden, Ritankar Das

Kidney Int Rep· May 2021

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