2021
DOI: 10.4018/ijbdah.20210701.oa9
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Predicting Inpatient Status for the Next 30/60/90 Days With Machine Learning

Abstract: In this paper, we report the development of machine learning techniques which can help hospital authorities assess a patients' medical condition and also calculate the probability of readmission of the patient as inpatient, and thus identify patients with higher risks for readmissions. Factor Analysis is performed on patient data to understand the severity of mental health, and Random Forest models are used to determine the probability of a patient becoming an inpatient for the next 30/60/90 days from their la… Show more

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