Ritankar Das

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 15

Top Topics

Associative Classification

Top Venues

Comput. Biol. Medicine

BMC Medical Informatics Decis. Mak.

Fundam. Informaticae

Publications

Jenish Maharjan, Anurag Garikipati, Navan Preet Singh, Leo Cyrus, Mayank Sharma, Madalina G. Ciobanu, Gina Barnes, Rahul Thapa, Qingqing Mao, Ritankar Das
OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models. CoRR (2024)
Jenish Maharjan, Anurag Garikipati, Frank A. Dinenno, Madalina G. Ciobanu, Gina Barnes, Ella Browning, Jenna DeCurzio, Qingqing Mao, Ritankar Das
Machine learning determination of applied behavioral analysis treatment plan type. Brain Informatics 10 (1) (2023)
Ashwath Radhachandran, Anurag Garikipati, Nicole S. Zelin, Emily Pellegrini, Sina Ghandian, Jacob S. Calvert, Jana L. Hoffman, Qingqing Mao, Ritankar Das
Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data. BioData Min. 14 (1) (2021)
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
Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction. Health Informatics J. 26 (3) (2020)
Abhijit Dasgupta, Losiana Nayak, Ritankar Das, Debasis Basu, Preetam Chandra, Rajat K. De
Pattern and Rule Mining for Identifying Signatures of Epileptic Patients from Clinical EEG Data. Fundam. Informaticae 176 (2) (2020)
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
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. 20 (1) (2020)
Hoyt Burdick, Carson 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
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial. Comput. Biol. Medicine 124 (2020)
Abhijit Dasgupta, Ritankar Das, Losiana Nayak, Ashis Datta, Rajat K. De
Two-Class in Silico Categorization of Intermediate Epileptic EEG Data. PReMI (2) (2019)
Christopher W. Barton, Uli K. Chettipally, Yifan Zhou, Zirui Jiang, Anna Lynn-Palevsky, Sidney Le, Jacob S. Calvert, Ritankar Das
Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs. Comput. Biol. Medicine 109 (2019)
Abhijit Dasgupta, Losiana Nayak, Ritankar Das, Debasis Basu, Preetam Chandra, Rajat K. De
Feature Selection and Fuzzy Rule Mining for Epileptic Patients from Clinical EEG Data. PReMI (2017)
Andrew J. Ballard, Ritankar Das, Stefano Martiniani, Dhagash Mehta, Levent Sagun, Jacob D. Stevenson, David J. Wales
Perspective: Energy Landscapes for Machine Learning. CoRR (2017)
Jacob S. Calvert, Daniel A. Price, Christopher W. Barton, Uli K. Chettipally, Ritankar Das
Discharge recommendation based on a novel technique of homeostatic analysis. J. Am. Medical Informatics Assoc. 24 (1) (2017)
Jacob S. Calvert, Daniel A. Price, Uli K. Chettipally, Christopher W. Barton, Mitchell D. Feldman, Jana L. Hoffman, Melissa Jay, Ritankar Das
A computational approach to early sepsis detection. Comput. Biol. Medicine 74 (2016)
Jacob S. Calvert, Qingqing Mao, Angela J. Rogers, Christopher W. Barton, Melissa Jay, Thomas Desautels, Hamid Mohamadlou, Jasmine Jan, Ritankar Das
A computational approach to mortality prediction of alcohol use disorder inpatients. Comput. Biol. Medicine 75 (2016)
Abhijit Dasgupta, Ritankar Das, Losiana Nayak, Rajat K. De
Analyzing epileptogenic brain connectivity networks using clinical EEG data. BIBM (2015)