Ritankar Das

According to our database, Ritankar Das authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, Madalina G. Ciobanu, Gina Barnes, Rahul Thapa, Qingqing Mao, Ritankar Das

CoRR, 2024

2023

Machine learning determination of applied behavioral analysis treatment plan type.

Jenish Maharjan, Anurag Garikipati, Frank A. Dinenno, Madalina G. Ciobanu, Gina Barnes, Ella Browning, Jenna DeCurzio, Qingqing Mao, Ritankar Das

Brain Informatics, December, 2023

2021

Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data.

Ashwath Radhachandran, Anurag Garikipati, Nicole S. Zelin, Emily Pellegrini, Sina Ghandian, Jacob S. Calvert, Jana L. Hoffman, Qingqing Mao, Ritankar Das

BioData Min., 2021

2020

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.

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

BMC Medical Informatics Decis. Mak., 2020

Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction.

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

Health Informatics J., 2020

Pattern and Rule Mining for Identifying Signatures of Epileptic Patients from Clinical EEG Data.

Abhijit Dasgupta, Losiana Nayak, Ritankar Das, Debasis Basu, Preetam Chandra, Rajat K. De

Fundam. Informaticae, 2020

Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial.

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

Comput. Biol. Medicine, 2020

2019

Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs.

Christopher W. Barton, Uli K. Chettipally, Yifan Zhou, Zirui Jiang, Anna Lynn-Palevsky, Sidney Le, Jacob S. Calvert, Ritankar Das

Comput. Biol. Medicine, 2019

Two-Class in Silico Categorization of Intermediate Epileptic EEG Data.

Abhijit Dasgupta, Ritankar Das, Losiana Nayak, Ashis Datta, Rajat K. De

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

2017

Discharge recommendation based on a novel technique of homeostatic analysis.

Jacob S. Calvert, Daniel A. Price, Christopher W. Barton, Uli K. Chettipally, Ritankar Das

J. Am. Medical Informatics Assoc., 2017

Perspective: Energy Landscapes for Machine Learning.

Andrew J. Ballard, Ritankar Das, Stefano Martiniani, Dhagash Mehta, Levent Sagun, Jacob D. Stevenson, David J. Wales

CoRR, 2017

Feature Selection and Fuzzy Rule Mining for Epileptic Patients from Clinical EEG Data.

Abhijit Dasgupta, Losiana Nayak, Ritankar Das, Debasis Basu, Preetam Chandra, Rajat K. De

Proceedings of the Pattern Recognition and Machine Intelligence, 2017

2016

A computational approach to early sepsis detection.

Jacob S. Calvert, Daniel A. Price, Uli K. Chettipally, Christopher W. Barton, Mitchell D. Feldman, Jana L. Hoffman, Melissa Jay, Ritankar Das

Comput. Biol. Medicine, 2016

A computational approach to mortality prediction of alcohol use disorder inpatients.

Jacob S. Calvert, Qingqing Mao, Angela J. Rogers, Christopher W. Barton, Melissa Jay, Thomas Desautels, Hamid Mohamadlou, Jasmine Jan, Ritankar Das

Comput. Biol. Medicine, 2016

2015

Analyzing epileptogenic brain connectivity networks using clinical EEG data.

Abhijit Dasgupta, Ritankar Das, Losiana Nayak, Rajat K. De

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015