Szolovits P - Search Results

1

Long-term outcomes of minor troponin elevations in the intensive care unit.

Velasquez A, Ghassemi M, Szolovits P, Park S, Osorio J, Dejam A, Celi L. Velasquez A, et al. Among authors: szolovits p. Anaesth Intensive Care. 2014 May;42(3):356-64. doi: 10.1177/0310057X1404200313. Anaesth Intensive Care. 2014. PMID: 24794476

2

An artificial intelligence tool to predict fluid requirement in the intensive care unit: a proof-of-concept study.

Celi LA, Hinske LC, Alterovitz G, Szolovits P. Celi LA, et al. Among authors: szolovits p. Crit Care. 2008;12(6):R151. doi: 10.1186/cc7140. Epub 2008 Dec 1. Crit Care. 2008. PMID: 19046450 Free PMC article.

3

MIMIC-III, a freely accessible critical care database.

Johnson AE, Pollard TJ, Shen L, Lehman LW, Feng M, Ghassemi M, Moody B, Szolovits P, Celi LA, Mark RG. Johnson AE, et al. Among authors: szolovits p. Sci Data. 2016 May 24;3:160035. doi: 10.1038/sdata.2016.35. Sci Data. 2016. PMID: 27219127 Free PMC article.

4

Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database.

Wu M, Ghassemi M, Feng M, Celi LA, Szolovits P, Doshi-Velez F. Wu M, et al. Among authors: szolovits p. J Am Med Inform Assoc. 2017 May 1;24(3):488-495. doi: 10.1093/jamia/ocw138. J Am Med Inform Assoc. 2017. PMID: 27707820 Free PMC article.

5

Can AI Help Reduce Disparities in General Medical and Mental Health Care?

Chen IY, Szolovits P, Ghassemi M. Chen IY, et al. Among authors: szolovits p. AMA J Ethics. 2019 Feb 1;21(2):E167-179. doi: 10.1001/amajethics.2019.167. AMA J Ethics. 2019. PMID: 30794127 Free article.

6

Unfolding Physiological State: Mortality Modelling in Intensive Care Units.

Ghassemi M, Naumann T, Doshi-Velez F, Brimmer N, Joshi R, Rumshisky A, Szolovits P. Ghassemi M, et al. Among authors: szolovits p. KDD. 2014 Aug 24;2014:75-84. doi: 10.1145/2623330.2623742. KDD. 2014. PMID: 25289175 Free PMC article.

7

Prediction using patient comparison vs. modeling: a case study for mortality prediction.

Hoogendoorn M, El Hassouni A, Mok K, Ghassemi M, Szolovits P. Hoogendoorn M, et al. Among authors: szolovits p. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:2464-2467. doi: 10.1109/EMBC.2016.7591229. Annu Int Conf IEEE Eng Med Biol Soc. 2016. PMID: 28268823

8

Predicting early psychiatric readmission with natural language processing of narrative discharge summaries.

Rumshisky A, Ghassemi M, Naumann T, Szolovits P, Castro VM, McCoy TH, Perlis RH. Rumshisky A, et al. Among authors: szolovits p. Transl Psychiatry. 2016 Oct 18;6(10):e921. doi: 10.1038/tp.2015.182. Transl Psychiatry. 2016. PMID: 27754482 Free PMC article.

9

Predicting intervention onset in the ICU with switching state space models.

Ghassemi M, Wu M, Hughes MC, Szolovits P, Doshi-Velez F. Ghassemi M, et al. Among authors: szolovits p. AMIA Jt Summits Transl Sci Proc. 2017 Jul 26;2017:82-91. eCollection 2017. AMIA Jt Summits Transl Sci Proc. 2017. PMID: 28815112 Free PMC article.

10

A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data.

Ghassemi M, Pimentel MA, Naumann T, Brennan T, Clifton DA, Szolovits P, Feng M. Ghassemi M, et al. Among authors: szolovits p. Proc AAAI Conf Artif Intell. 2015 Jan;2015:446-453. Proc AAAI Conf Artif Intell. 2015. PMID: 27182460 Free PMC article.

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