Abstract
Predictive models have been developed over the years to identify patients at risk of readmission. The goal of this study is to identify the risk factors associated to a patient’s readmission within one year in the cohort study including acute myocardial infarction (AMI), Heart Failure (HF), Chronic Obstructive Pulmonary Disease (COPD) and Pneumonia (PN) in a reputed Philippine hospital. Four predictive models were used and evaluated using performance metrics. The study found Logistic Regression as the most performing model in most of the cohort studies. There are 6 to 8 variables significantly associated with the readmission of high-risk patients.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Materials Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
