This paper is in the following e-collection/theme issue:

Machine Learning (1501) Decision Support for Health Professionals (1210) Infectious Diseases (non-STD/STI) (1592) Safety and Error Prevention in Health (206) Clinical Information and Decision Making (1434) Electronic Health Records (1068) Clinical Informatics (1050) Intensive Care Unit (ICU) (114) Hygiene and Infection Prevention (325)

Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29986, first published .
Ambulatory Risk Models for the Long-Term Prevention of Sepsis: Retrospective Study

Ambulatory Risk Models for the Long-Term Prevention of Sepsis: Retrospective Study

Ambulatory Risk Models for the Long-Term Prevention of Sepsis: Retrospective Study

Authors of this article:

Jewel Y Lee1 Author Orcid Image ;   Sevda Molani1 Author Orcid Image ;   Chen Fang1 Author Orcid Image ;   Kathleen Jade1 Author Orcid Image ;   D Shane O'Mahony2 Author Orcid Image ;   Sergey A Kornilov1 Author Orcid Image ;   Lindsay T Mico3 Author Orcid Image ;   Jennifer J Hadlock1 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Molani S, Hernandez P, Roper R, Duvvuri V, Baumgartner A, Goldman J, Ertekin-Taner N, Funk C, Price N, Rappaport N, Hadlock J. Risk factors for severe COVID-19 differ by age for hospitalized adults. Scientific Reports 2022;12(1) View