Das R - Search Results

1

Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?-The IDENTIFY Trial.

Burdick H, Lam C, Mataraso S, Siefkas A, Braden G, Dellinger RP, McCoy A, Vincent JL, Green-Saxena A, Barnes G, Hoffman J, Calvert J, Pellegrini E, Das R. Burdick H, et al. Among authors: das r. J Clin Med. 2020 Nov 26;9(12):3834. doi: 10.3390/jcm9123834. J Clin Med. 2020. PMID: 33256141 Free PMC article.

2

Discharge recommendation based on a novel technique of homeostatic analysis.

Calvert JS, Price DA, Barton CW, Chettipally UK, Das R. Calvert JS, et al. Among authors: das r. J Am Med Inform Assoc. 2017 Jan;24(1):24-29. doi: 10.1093/jamia/ocw014. Epub 2016 Mar 28. J Am Med Inform Assoc. 2017. PMID: 27026611 Free PMC article.

3

A computational approach to early sepsis detection.

Calvert JS, Price DA, Chettipally UK, Barton CW, Feldman MD, Hoffman JL, Jay M, Das R. Calvert JS, et al. Among authors: das r. Comput Biol Med. 2016 Jul 1;74:69-73. doi: 10.1016/j.compbiomed.2016.05.003. Epub 2016 May 12. Comput Biol Med. 2016. PMID: 27208704

4

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

Calvert J, Mao Q, Rogers AJ, Barton C, Jay M, Desautels T, Mohamadlou H, Jan J, Das R. Calvert J, et al. Among authors: das r. Comput Biol Med. 2016 Aug 1;75:74-9. doi: 10.1016/j.compbiomed.2016.05.015. Epub 2016 May 24. Comput Biol Med. 2016. PMID: 27253619

5

High-performance detection and early prediction of septic shock for alcohol-use disorder patients.

Calvert J, Desautels T, Chettipally U, Barton C, Hoffman J, Jay M, Mao Q, Mohamadlou H, Das R. Calvert J, et al. Among authors: das r. Ann Med Surg (Lond). 2016 May 10;8:50-5. doi: 10.1016/j.amsu.2016.04.023. eCollection 2016 Jun. Ann Med Surg (Lond). 2016. PMID: 27489621 Free PMC article.

6

Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach.

Desautels T, Calvert J, Hoffman J, Jay M, Kerem Y, Shieh L, Shimabukuro D, Chettipally U, Feldman MD, Barton C, Wales DJ, Das R. Desautels T, et al. Among authors: das r. JMIR Med Inform. 2016 Sep 30;4(3):e28. doi: 10.2196/medinform.5909. JMIR Med Inform. 2016. PMID: 27694098 Free PMC article.

7

Using electronic health record collected clinical variables to predict medical intensive care unit mortality.

Calvert J, Mao Q, Hoffman JL, Jay M, Desautels T, Mohamadlou H, Chettipally U, Das R. Calvert J, et al. Among authors: das r. Ann Med Surg (Lond). 2016 Sep 6;11:52-57. doi: 10.1016/j.amsu.2016.09.002. eCollection 2016 Nov. Ann Med Surg (Lond). 2016. PMID: 27699003 Free PMC article.

8

Cost and mortality impact of an algorithm-driven sepsis prediction system.

Calvert J, Hoffman J, Barton C, Shimabukuro D, Ries M, Chettipally U, Kerem Y, Jay M, Mataraso S, Das R. Calvert J, et al. Among authors: das r. J Med Econ. 2017 Jun;20(6):646-651. doi: 10.1080/13696998.2017.1307203. Epub 2017 Apr 3. J Med Econ. 2017. PMID: 28294646 Free article.

9

Using Transfer Learning for Improved Mortality Prediction in a Data-Scarce Hospital Setting.

Desautels T, Calvert J, Hoffman J, Mao Q, Jay M, Fletcher G, Barton C, Chettipally U, Kerem Y, Das R. Desautels T, et al. Among authors: das r. Biomed Inform Insights. 2017 Jun 12;9:1178222617712994. doi: 10.1177/1178222617712994. eCollection 2017. Biomed Inform Insights. 2017. PMID: 28638239 Free PMC article.

10

Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach.

Desautels T, Das R, Calvert J, Trivedi M, Summers C, Wales DJ, Ercole A. Desautels T, et al. Among authors: das r. BMJ Open. 2017 Sep 15;7(9):e017199. doi: 10.1136/bmjopen-2017-017199. BMJ Open. 2017. PMID: 28918412 Free PMC article.

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