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Ritankar Das
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2020 – today
- 2024
- [i2]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 abs/2402.19371 (2024) - 2023
- [j10]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): 7 (2023) - 2021
- [j9]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): 23 (2021) - 2020
- [j8]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:
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial. Comput. Biol. Medicine 124: 103949 (2020) - [j7]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): 141-166 (2020) - [j6]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): 1912-1925 (2020) - [j5]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): 276 (2020)
2010 – 2019
- 2019
- [j4]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: 79-84 (2019) - [c3]Abhijit Dasgupta, Ritankar Das, Losiana Nayak, Ashis Datta, Rajat K. De:
Two-Class in Silico Categorization of Intermediate Epileptic EEG Data. PReMI (2) 2019: 184-192 - 2017
- [j3]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): 24-29 (2017) - [c2]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: 87-95 - [i1]Andrew J. Ballard, Ritankar Das, Stefano Martiniani, Dhagash Mehta, Levent Sagun, Jacob D. Stevenson, David J. Wales:
Perspective: Energy Landscapes for Machine Learning. CoRR abs/1703.07915 (2017) - 2016
- [j2]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: 69-73 (2016) - [j1]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: 74-79 (2016) - 2015
- [c1]Abhijit Dasgupta, Ritankar Das, Losiana Nayak, Rajat K. De:
Analyzing epileptogenic brain connectivity networks using clinical EEG data. BIBM 2015: 815-821
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last updated on 2024-10-07 21:21 CEST by the dblp team
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