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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)

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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

Other publications of authors with the same name

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)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)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)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)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)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)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)Feature Selection and Fuzzy Rule Mining for Epileptic Patients from Clinical EEG Data.A. Dasgupta, L. Nayak, R. Das, D. Basu, P. Chandra, and R. De. PReMI, volume 10597 of Lecture Notes in Computer Science, page 87-95. Springer, (2017)

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Disambiguation of "Das, Ritankar"

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A computational approach to early sepsis detection.

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 early sepsis detection.

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

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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A computational approach to early sepsis detection.