Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Eric Mlodzinski"'
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
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
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
https://doi.org/10.1016/j.jcrc.2023.154325
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
https://doi.org/10.2196/preprints.41056
Publikováno v:
Pulmonary Therapy, Vol 6, Iss 1, Pp 67-77 (2020)
Pulmonary Therapy
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
https://doaj.org/article/60d9908003af4f48864af774c3e8bc4d
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
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
https://pubmed.ncbi.nlm.nih.gov/33354677