Výsledky vyhledávání - "Eric Mlodzinski"

Akademický článek

Assessing Barriers to Implementation of Machine Learning and Artificial Intelligence–Based Tools in Critical Care: Web-Based Survey Study

Autor: Eric Mlodzinski, Gabriel Wardi, Clare Viglione, Shamim Nemati, Laura Crotty Alexander, Atul Malhotra

Publikováno v: JMIR Perioperative Medicine, Vol 6, p e41056 (2023)

BackgroundAlthough there is considerable interest in machine learning (ML) and artificial intelligence (AI) in critical care, the implementation of effective algorithms into practice has been limited. ObjectiveWe sought to understand physician persp

Externí odkaz: https://doaj.org/article/e145ad8ccdcb481fa17b8f2c02010466

Zobrazit plný text záznamu

Akademický článek

Machine Learning for Pulmonary and Critical Care Medicine: A Narrative Review

Autor: Eric Mlodzinski, David J. Stone, Leo A. Celi

Publikováno v: Pulmonary Therapy, Vol 6, Iss 1, Pp 67-77 (2020)

Abstract Machine learning (ML) is a discipline of computer science in which statistical methods are applied to data in order to classify, predict, or optimize, based on previously observed data. Pulmonary and critical care medicine have seen a surge

Externí odkaz: https://doaj.org/article/60d9908003af4f48864af774c3e8bc4d

Zobrazit plný text záznamu

Plný text ve formátu HTML

Effects of correction rate for severe hyponatremia in the intensive care unit on patient outcomes

Autor: Takahiro Kinoshita, Eric Mlodzinski, Qian Xiao, Raphael Sherak, Nathan H. Raines, Leo A. Celi

Publikováno v: Journal of Critical Care. 77:154325

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f5a98efc9b2ad3b7f400410d5f2393d7
https://doi.org/10.1016/j.jcrc.2023.154325

Zobrazit plný text záznamu

Assessing Barriers to Implementation of Machine Learning and Artificial Intelligence–Based Tools in Critical Care: Web-Based Survey Study (Preprint)

Autor: Eric Mlodzinski, Gabriel Wardi, Clare Viglione, Shamim Nemati, Laura Crotty Alexander, Atul Malhotra

BACKGROUND Although there is considerable interest in machine learning (ML) and artificial intelligence (AI) in critical care, the implementation of effective algorithms into practice has been limited. OBJECTIVE We sought to understand physician pers

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e0de0cac307a775298159d246314fbc0
https://doi.org/10.2196/preprints.41056

Zobrazit plný text záznamu

Machine Learning for Pulmonary and Critical Care Medicine: A Narrative Review

Autor: David J Stone, Eric Mlodzinski, Leo Anthony Celi

Publikováno v: Pulmonary Therapy, Vol 6, Iss 1, Pp 67-77 (2020)
Pulmonary Therapy

Machine learning (ML) is a discipline of computer science in which statistical methods are applied to data in order to classify, predict, or optimize, based on previously observed data. Pulmonary and critical care medicine have seen a surge in the ap

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e76c52fe4c057b74a14ca384a8f71ac
https://doaj.org/article/60d9908003af4f48864af774c3e8bc4d

Zobrazit plný text záznamu

Plný text ve formátu HTML

Association Between ICU-Acquired Hypernatremia and In-Hospital Mortality: Data From the Medical Information Mart for Intensive Care III and the Electronic ICU Collaborative Research Database

Autor: Raphael Sherak, Nathan Raines, Marcus Møller, Markus Harboe Olsen, Jonas Andersson, Anni Nørgaard Jeppesen, Eric Mlodzinski, Stefano Romano

Publikováno v: Critical Care Explorations

Supplemental Digital Content is available in the text.
Objectives: Describe the relationship between ICU-acquired hypernatremia and in-hospital mortality and investigate the optimal hypernatremia correction rate. Design, Setting, Participants, a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::090f3ce9454d04196443f0a4cc2b6cda
https://pubmed.ncbi.nlm.nih.gov/33354677

Zobrazit plný text záznamu