Identification of risk factors of 30-day readmission and 180-day in-hospital mortality, and its corresponding relative importance in patients with Ischemic heart disease: a machine learning approach

Journal article

Peer reviewed

Arinze Nkemdirim Okere, Vassiki Sanogo, Hussain Alqhtani and Vakaramoko Diaby

Expert review of pharmacoeconomics & outcomes research, Vol.21(5), pp.1043-1048

03/09/2021

PMID: 33131344

Metrics

1 Record Views

Title: Identification of risk factors of 30-day readmission and 180-day in-hospital mortality, and its corresponding relative importance in patients with Ischemic heart disease: a machine learning approach
Creators - without role: Arinze Nkemdirim Okere - College of Pharmacy and Pharmaceutical Sciences, Institute of Public Health, Tallahassee, FL, USA.
Vassiki Sanogo - University of Florida
Hussain Alqhtani - Najran University
Vakaramoko Diaby - Florida College
Publication Details: Expert review of pharmacoeconomics & outcomes research, Vol.21(5), pp.1043-1048
Identifiers: 9924779708331
Academic Unit: Najran University
Language: English
Resource Type: Journal article