Ritankar Das

15 papers Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models.
CoRR
Jenish Maharjan, Anurag Garikipati, Navan Preet Singh, Leo Cyrus, Mayank Sharma, Madalina G. Ciobanu, Gina Barnes, Rahul Thapa, Qingqing Mao, Ritankar Das
2023 J jnl
Machine learning determination of applied behavioral analysis treatment plan type.
Brain Informatics
Jenish Maharjan, Anurag Garikipati, Frank A. Dinenno, Madalina G. Ciobanu, Gina Barnes, Ella Browning, Jenna DeCurzio, Qingqing Mao, Ritankar Das
2021 J jnl
Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data.
BioData Min.
Ashwath Radhachandran, Anurag Garikipati, Nicole S. Zelin, Emily Pellegrini, Sina Ghandian, Jacob S. Calvert, Jana L. Hoffman, Qingqing Mao, Ritankar Das
2020 J jnl
Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction.
Health Informatics J.
Hamid Mohamadlou, Saarang Panchavati, Jacob S. Calvert, Anna Lynn-Palevsky, Sidney Le, Angier Allen, Emily Pellegrini, Abigail Green-Saxena, Christopher W. Barton, Grant Fletcher, Lisa Shieh, Philip B. Stark, Uli K. Chettipally, David Shimabukuro, Mitchell Feldman, Ritankar Das
2020 J jnl
Pattern and Rule Mining for Identifying Signatures of Epileptic Patients from Clinical EEG Data.
Fundam. Informaticae
Abhijit Dasgupta, Losiana Nayak, Ritankar Das, Debasis Basu, Preetam Chandra, Rajat K. De
2020 J jnl
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial.
Comput. Biol. Medicine
Hoyt Burdick, Carson K. Lam, Samson Mataraso, Anna Siefkas, Gregory Braden, R. Phillip Dellinger, Andrea McCoy, Jean-Louis Vincent, Abigail Green-Saxena, Gina Barnes, Jana L. Hoffman, Jacob S. Calvert, Emily Pellegrini, Ritankar Das
2020 J jnl
Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals.
BMC Medical Informatics Decis. Mak.
Hoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, Carol Gu, Jonathan Roberts, Sidney Le, Joseph Slote, Nicholas Saber, Emily Pellegrini, Abigail Green-Saxena, Jana L. Hoffman, Ritankar Das
2019 J jnl
Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs.
Comput. Biol. Medicine
Christopher W. Barton, Uli K. Chettipally, Yifan Zhou, Zirui Jiang, Anna Lynn-Palevsky, Sidney Le, Jacob S. Calvert, Ritankar Das
2019 — conf
Two-Class in Silico Categorization of Intermediate Epileptic EEG Data.
PReMI (2)
Abhijit Dasgupta, Ritankar Das, Losiana Nayak, Ashis Datta, Rajat K. De
2017 J jnl
Discharge recommendation based on a novel technique of homeostatic analysis.
J. Am. Medical Informatics Assoc.
Jacob S. Calvert, Daniel A. Price, Christopher W. Barton, Uli K. Chettipally, Ritankar Das
2017 — conf
Feature Selection and Fuzzy Rule Mining for Epileptic Patients from Clinical EEG Data.
PReMI
Abhijit Dasgupta, Losiana Nayak, Ritankar Das, Debasis Basu, Preetam Chandra, Rajat K. De
2017 J jnl
Perspective: Energy Landscapes for Machine Learning.
CoRR
Andrew J. Ballard, Ritankar Das, Stefano Martiniani, Dhagash Mehta, Levent Sagun, Jacob D. Stevenson, David J. Wales
2016 J jnl
A computational approach to early sepsis detection.
Comput. Biol. Medicine
Jacob S. Calvert, Daniel A. Price, Uli K. Chettipally, Christopher W. Barton, Mitchell D. Feldman, Jana L. Hoffman, Melissa Jay, Ritankar Das
2016 J jnl
A computational approach to mortality prediction of alcohol use disorder inpatients.
Comput. Biol. Medicine
Jacob S. Calvert, Qingqing Mao, Angela J. Rogers, Christopher W. Barton, Melissa Jay, Thomas Desautels, Hamid Mohamadlou, Jasmine Jan, Ritankar Das
2015 — conf
Analyzing epileptogenic brain connectivity networks using clinical EEG data.
BIBM
Abhijit Dasgupta, Ritankar Das, Losiana Nayak, Rajat K. De