Early re-admission of patients increases the cost of health care and it highly influences the reputation of the hospital. Finding readmission in primary stage, allows the hospitals to give special care for those patients, and then can reduce the rate of readmission. In this work develop a new model using deep learning. It is the comparison method between machine learning and deep learning. Usually Logistic regression is use for all kind of prediction. But according to this data artificial neural network model in deep learning give promising result than logistic regression.
Aswathi Anand P. and Maya L. Pai, “Artificial Neural Network Model for Identifying Early Readmission of Diabetic Patients”, OPUS: International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol. 8, no. 6, 2019.