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Novel Machine Learning Approach to Predict and Personalize Length of Stay for Patients Admitted with Syncope from the Emergency Departmen

Autor: Sangil Lee, Avinash Reddy Mudireddy, Deepak Kumar Pasupula, Mehul Adhaduk, E. John Barsotti, Milan Sonka, Giselle M. Statz, Tyler Bullis, Samuel L. Johnston, Aron Z. Evans, Brian Olshansky, Milena A. Gebska

Publikováno v: Journal of Personalized Medicine
Volume 13
Issue 1
Pages: 7

Background: Syncope, a common problem encountered in the emergency department (ED), has a multitude of causes ranging from benign to life-threatening. Hospitalization may be required, but the management can vary substantially depending on specific cl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16ab7a76688f46d95b7460f60723315c
https://doi.org/10.3390/jpm13010007

Novel Machine Learning Approach to Predict and Personalize Length of Stay for Patients Admitted with Syncope from the Emergency Department.

Autor: Lee S; Department of Emergency Medicine, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA 52242, USA., Reddy Mudireddy A; The Iowa Initiative of Artificial Intelligence, University of Iowa, 103 South Capitol Street, Iowa City, IA 52242, USA., Kumar Pasupula D; Division of Cardiology, Mercy One North Iowa Heart Center, 250 S Crescent Dr, Mason City, IA 50401, USA., Adhaduk M; Department of Internal Medicine, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA 52242, USA., Barsotti EJ; Department of Epidemiology, College of Public Health, University of Iowa, 145 N. Riverside Drive, Iowa City, IA 52242, USA., Sonka M; The Iowa Initiative of Artificial Intelligence, University of Iowa, 103 South Capitol Street, Iowa City, IA 52242, USA., Statz GM; Division of Cardiovascular Medicine, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA 52242, USA., Bullis T; Department of Internal Medicine, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA 52242, USA., Johnston SL; Division of Cardiovascular Medicine, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA 52242, USA., Evans AZ; Department of Internal Medicine, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA 52242, USA., Olshansky B; Division of Cardiovascular Medicine, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA 52242, USA., Gebska MA; Division of Cardiovascular Medicine, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA 52242, USA.

Publikováno v: Journal of personalized medicine [J Pers Med] 2022 Dec 20; Vol. 13 (1). Date of Electronic Publication: 2022 Dec 20.

Prediction performance of the machine learning model in predicting mortality risk in patients with traumatic brain injuries: a systematic review and meta-analysis.

Autor: Wang, Jue¹ (AUTHOR), Yin, Ming Jing¹ (AUTHOR), Wen, Han Chun^1,2 (AUTHOR) 1064243520@qq.com

Publikováno v: BMC Medical Informatics & Decision Making. 8/14/2023, Vol. 23 Issue 1, p1-13. 13p.

A Hybrid Model for 30-Day Syncope Prognosis Prediction in the Emergency Department.

Autor: Dipaola, Franca, Gatti, Mauro, Menè, Roberto, Shiffer, Dana, Giaj Levra, Alessandro, Solbiati, Monica, Villa, Paolo, Costantino, Giorgio, Furlan, Raffaello

Publikováno v: Journal of Personalized Medicine; Jan2024, Vol. 14 Issue 1, p4, 14p