Saria S - Search Results

1

Measuring Patient Mobility in the ICU Using a Novel Noninvasive Sensor.

Ma AJ, Rawat N, Reiter A, Shrock C, Zhan A, Stone A, Rabiee A, Griffin S, Needham DM, Saria S. Ma AJ, et al. Among authors: saria s. Crit Care Med. 2017 Apr;45(4):630-636. doi: 10.1097/CCM.0000000000002265. Crit Care Med. 2017. PMID: 28291092 Free PMC article.

2

Process Monitoring in the Intensive Care Unit: Assessing Patient Mobility Through Activity Analysis with a Non-Invasive Mobility Sensor.

Reiter A, Ma A, Rawat N, Shrock C, Saria S. Reiter A, et al. Among authors: saria s. Med Image Comput Comput Assist Interv. 2016 Oct;9900:482-490. doi: 10.1007/978-3-319-46720-7_56. Epub 2016 Oct 2. Med Image Comput Comput Assist Interv. 2016. PMID: 29170766 Free PMC article.

3

Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score.

Zhan A, Mohan S, Tarolli C, Schneider RB, Adams JL, Sharma S, Elson MJ, Spear KL, Glidden AM, Little MA, Terzis A, Dorsey ER, Saria S. Zhan A, et al. Among authors: saria s. JAMA Neurol. 2018 Jul 1;75(7):876-880. doi: 10.1001/jamaneurol.2018.0809. JAMA Neurol. 2018. PMID: 29582075 Free PMC article.

4

Comparison of Automated Activity Recognition to Provider Observations of Patient Mobility in the ICU.

Rawat N, Rao V, Peven M, Shrock C, Reiter A, Saria S, Ali H. Rawat N, et al. Among authors: saria s. Crit Care Med. 2019 Sep;47(9):1232-1234. doi: 10.1097/CCM.0000000000003852. Crit Care Med. 2019. PMID: 31162207

5

Too Many Definitions of Sepsis: Can Machine Learning Leverage the Electronic Health Record to Increase Accuracy and Bring Consensus?

Saria S, Henry KE. Saria S, et al. Crit Care Med. 2020 Feb;48(2):137-141. doi: 10.1097/CCM.0000000000004144. Crit Care Med. 2020. PMID: 31939780 No abstract available.

6

The Association Between Neighborhood Socioeconomic Disadvantage and Readmissions for Patients Hospitalized With Sepsis.

Galiatsatos P, Follin A, Alghanim F, Sherry M, Sylvester C, Daniel Y, Chanmugam A, Townsend J, Saria S, Kind AJ, Chen E. Galiatsatos P, et al. Among authors: saria s. Crit Care Med. 2020 Jun;48(6):808-814. doi: 10.1097/CCM.0000000000004307. Crit Care Med. 2020. PMID: 32271185 Free PMC article.

7

Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis.

Adams R, Henry KE, Sridharan A, Soleimani H, Zhan A, Rawat N, Johnson L, Hager DN, Cosgrove SE, Markowski A, Klein EY, Chen ES, Saheed MO, Henley M, Miranda S, Houston K, Linton RC, Ahluwalia AR, Wu AW, Saria S. Adams R, et al. Among authors: saria s. Nat Med. 2022 Jul;28(7):1455-1460. doi: 10.1038/s41591-022-01894-0. Epub 2022 Jul 21. Nat Med. 2022. PMID: 35864252

8

A targeted real-time early warning score (TREWScore) for septic shock.

Henry KE, Hager DN, Pronovost PJ, Saria S. Henry KE, et al. Among authors: saria s. Sci Transl Med. 2015 Aug 5;7(299):299ra122. doi: 10.1126/scitranslmed.aab3719. Sci Transl Med. 2015. PMID: 26246167

9

Comparison of Automated Sepsis Identification Methods and Electronic Health Record-based Sepsis Phenotyping: Improving Case Identification Accuracy by Accounting for Confounding Comorbid Conditions.

Henry KE, Hager DN, Osborn TM, Wu AW, Saria S. Henry KE, et al. Among authors: saria s. Crit Care Explor. 2019 Oct 30;1(10):e0053. doi: 10.1097/CCE.0000000000000053. eCollection 2019 Oct. Crit Care Explor. 2019. PMID: 32166234 Free PMC article.

10

Development and Validation of ARC, a Model for Anticipating Acute Respiratory Failure in Coronavirus Disease 2019 Patients.

Saria S, Schulam P, Yeh BJ, Burke D, Mooney SD, Fong CT, Sunshine JE, Long DR, O'Reilly-Shah VN. Saria S, et al. Crit Care Explor. 2021 Jun 4;3(6):e0441. doi: 10.1097/CCE.0000000000000441. eCollection 2021 Jun. Crit Care Explor. 2021. PMID: 34104894 Free PMC article.

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