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Experimental Result Paper | Decision Science | United States of America | Volume 12 Issue 12, December 2023 | Rating: 4.6 / 10
Classifying High Risk Diabetic Patients using Supervised Machine Learning Models
Ritambhara Jha
Abstract: Hospital re - admissions are a major healthcare concern, primarily in terms of the quality services delivered to hospitalized patients and the accompanying healthcare expenditures. In 2018, 20 percent of adult hospital re - admissions were associated with four conditions at index admission: septicemia, heart failure, diabetes, and chronic obstructive pulmonary disease (COPD) [10]. Our goal is to examine these studies and focus on the frequency of re - admissions, their causes and their usefulness as a measure of care quality. This paper compares four popular approaches in the literature to classify the diabetic patients into Re - admissible or Non - Re - admissible.
Keywords: Classification ML models, Hospital Re - admissions, Healthcare Expenditures, Care Quality, Identifying Diabetic Patients
Edition: Volume 12 Issue 12, December 2023,
Pages: 806 - 811