Asthma’s Patient Continuity of Care using Machine learning Models

Abstract

Continuity of care (COC) has been found to provide various advantages for people's health with chronic conditions such as asthma. This work focuses on constructing a machine learning algorithm to forecast how asthma patients will be treated in the future. For chronic disorders, continuity of care (COC) has been found to provide several health benefits. The application of a prediction methodology to determine the COC in patients, on the other hand, has received little attention. This work aims to fill a research gap by developing a machine learning approach to forecast asthma patients' future COC and investigating the relevant parameters.