Predicting Readmission Charges Billed by Hospitals: Machine Learning Approach.

ABSTRACT:

Background

The Centers for Medicare and Medicaid Services projects that health care costs will continue to grow over the next few years. Rising readmission costs contribute significantly to increasing health care costs. Multiple areas of health care, including readmissions, have benefited from the application of various machine learning algorithms in several ways.

Objective

We aimed to identify suitable models for predicting readmission charges billed by hospitals. Our literature review revealed that this application of machine learning is underexplored. We used various predictive methods, ranging from glass-box models (such as regularization techniques) to black-box models (such as deep learning-based models).

Methods

We defined readmissions as readmission with the s

SUBMITTER: Gopukumar D 

PROVIDER: S-EPMC9472041 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature