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

J. Calvert, Q. Mao, A. Rogers, C. Barton, M. Jay, T. Desautels, H. Mohamadlou, J. Jan, and R. Das. Comput. Biol. Medicine, (2016)

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Romy Das

Bio-economic modeling of soil resource conservation in Mid Hill Region of NepalR. Das. Uni Gießen, (2009)

Anita Das

Arabindo Das

Amitabh Das

Kamalendu Das

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A computational approach to mortality prediction of alcohol use disorder inpatients.J. Calvert, Q. Mao, A. Rogers, C. Barton, M. Jay, T. Desautels, H. Mohamadlou, J. Jan, and R. Das. Comput. Biol. Medicine, (2016)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.H. Burdick, E. Pino, D. Gabel-Comeau, C. Gu, J. Roberts, S. Le, J. Slote, N. Saber, E. Pellegrini, A. Green-Saxena and 2 other author(s). BMC Medical Informatics Decis. Mak., 20 (1): 276 (2020)Discharge recommendation based on a novel technique of homeostatic analysis.J. Calvert, D. Price, C. Barton, U. Chettipally, and R. Das. JAMIA, 24 (1): 24-29 (2017)Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data.A. Radhachandran, A. Garikipati, N. Zelin, E. Pellegrini, S. Ghandian, J. Calvert, J. Hoffman, Q. Mao, and R. Das. BioData Min., 14 (1): 23 (2021)Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs.C. Barton, U. Chettipally, Y. Zhou, Z. Jiang, A. Lynn-Palevsky, S. Le, J. Calvert, and R. Das. Comput. Biol. Medicine, (2019)Machine learning determination of applied behavioral analysis treatment plan type.J. Maharjan, A. Garikipati, F. Dinenno, M. Ciobanu, G. Barnes, E. Browning, J. DeCurzio, Q. Mao, and R. Das. Brain Informatics, 10 (1): 7 (December 2023)OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models.J. Maharjan, A. Garikipati, N. Singh, L. Cyrus, M. Sharma, M. Ciobanu, G. Barnes, R. Thapa, Q. Mao, and R. Das. CoRR, (2024)Perspective: Energy Landscapes for Machine Learning.A. Ballard, R. Das, S. Martiniani, D. Mehta, L. Sagun, J. Stevenson, and D. Wales. CoRR, (2017)A computational approach to early sepsis detection.J. Calvert, D. Price, U. Chettipally, C. Barton, M. Feldman, J. Hoffman, M. Jay, and R. Das. Comput. Biol. Medicine, (2016)Pattern and Rule Mining for Identifying Signatures of Epileptic Patients from Clinical EEG Data.A. Dasgupta, L. Nayak, R. Das, D. Basu, P. Chandra, and R. De. Fundam. Informaticae, 176 (2): 141-166 (2020)

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Disambiguation of "Das, Ritankar"

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

Please choose a person to relate this publication to

Romy Das

Anita Das

Arabindo Das

Amitabh Das

Kamalendu Das

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Das, Ritankar"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A computational approach to mortality prediction of alcohol use disorder inpatients.

Please choose a person to relate this publication to

Romy Das

Anita Das

Arabindo Das

Amitabh Das

Kamalendu Das

Other publications of authors with the same name

Disambiguation

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URL
DOI
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APA
Chicago
DIN 1505
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A computational approach to mortality prediction of alcohol use disorder inpatients.