Machine Learning in Relation to Emergency Medicine Clinical and Operational Scenarios: An Overview

Autor: Nicholas M. Mohr, Sangil Lee, W Nicholas Street, Prakash Nadkarni

Publikováno v: Western Journal of Emergency Medicine
Western Journal of Emergency Medicine, Vol 20, Iss 2 (2019)
Lee, Sangil; Mohr, Nicholas M.; Street, W. Nicholas; & Nadkarni, Prakash. (2019). Machine Learning in Relation to Emergency Medicine Clinical and Operational Scenarios: An Overview. Western Journal of Emergency Medicine, 20(2). doi: 10.5811/westjem.2019.1.41244. Retrieved from: http://www.escholarship.org/uc/item/71f2f15r

Health informatics is a vital technology that holds great promise in the healthcare setting. We describe two prominent health informatics tools relevant to emergency care, as well as the historical background and the current state of informatics. We

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a96576daed8f83cdae09dc504d06d720
http://europepmc.org/articles/PMC6404711