Calvert J - Search Results

1

Mortality, disease progression, and disease burden of acute kidney injury in alcohol use disorder subpopulation.

Maharjan J, Le S, Green-Saxena A, Khattar M, Calvert J, Pellegrini E, Hoffman J, Das R. Maharjan J, et al. Among authors: calvert j. Am J Med Sci. 2022 Jul;364(1):46-52. doi: 10.1016/j.amjms.2022.01.004. Epub 2022 Jan 23. Am J Med Sci. 2022. PMID: 35081403 Free article.

2

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. 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

3

A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development Study.

Allen A, Mataraso S, Siefkas A, Burdick H, Braden G, Dellinger RP, McCoy A, Pellegrini E, Hoffman J, Green-Saxena A, Barnes G, Calvert J, Das R. Allen A, et al. Among authors: calvert j. JMIR Public Health Surveill. 2020 Oct 22;6(4):e22400. doi: 10.2196/22400. JMIR Public Health Surveill. 2020. PMID: 33090117 Free PMC article.

4

Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS).

Le S, Pellegrini E, Green-Saxena A, Summers C, Hoffman J, Calvert J, Das R. Le S, et al. Among authors: calvert j. J Crit Care. 2020 Dec;60:96-102. doi: 10.1016/j.jcrc.2020.07.019. Epub 2020 Jul 24. J Crit Care. 2020. PMID: 32777759 Free article.

5

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

Radhachandran A, Garikipati A, Zelin NS, Pellegrini E, Ghandian S, Calvert J, Hoffman J, Mao Q, Das R. Radhachandran A, et al. Among authors: calvert j. BioData Min. 2021 Mar 31;14(1):23. doi: 10.1186/s13040-021-00255-w. BioData Min. 2021. PMID: 33789700 Free PMC article.

6

Convolutional Neural Network Model for Intensive Care Unit Acute Kidney Injury Prediction.

Le S, Allen A, Calvert J, Palevsky PM, Braden G, Patel S, Pellegrini E, Green-Saxena A, Hoffman J, Das R. Le S, et al. Among authors: calvert j. Kidney Int Rep. 2021 Feb 26;6(5):1289-1298. doi: 10.1016/j.ekir.2021.02.031. eCollection 2021 May. Kidney Int Rep. 2021. PMID: 34013107 Free PMC article.

7

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. 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.

8

Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study.

Lam C, Tso CF, Green-Saxena A, Pellegrini E, Iqbal Z, Evans D, Hoffman J, Calvert J, Mao Q, Das R. Lam C, et al. Among authors: calvert j. JMIR Form Res. 2021 Sep 14;5(9):e28028. doi: 10.2196/28028. JMIR Form Res. 2021. PMID: 34398784 Free PMC article.

9

Machine-Learning-Based Laboratory Developed Test for the Diagnosis of Sepsis in High-Risk Patients.

Calvert J, Saber N, Hoffman J, Das R. Calvert J, et al. Diagnostics (Basel). 2019 Feb 13;9(1):20. doi: 10.3390/diagnostics9010020. Diagnostics (Basel). 2019. PMID: 30781800 Free PMC article.

10

Pediatric Severe Sepsis Prediction Using Machine Learning.

Le S, Hoffman J, Barton C, Fitzgerald JC, Allen A, Pellegrini E, Calvert J, Das R. Le S, et al. Among authors: calvert j. Front Pediatr. 2019 Oct 11;7:413. doi: 10.3389/fped.2019.00413. eCollection 2019. Front Pediatr. 2019. PMID: 31681711 Free PMC article.

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