Artificial Neural Network Model for Identifying Early Readmission of Diabetic Patients
Aswathi Anand P1, Maya L Pai2
1Aswathi Anand P, Department of Computer Science & IT, Amrita School of Arts and Science Kochi, Amrita VishvaVidyaPeetham, India.
2Dr. Maya L Pai, Department of Computer Science & IT, Amrita School of Arts and Science Kochi, Amrita VishvaVidyaPeetham, India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 430-433 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3625048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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 used for all kind of prediction. But according to this data artificial neural network model in deep learning give promising result than logistic regression.
Keyword: Logistic Regression, Artificial Neural Network, Multilayer Perception.
Scope of the Article: Big Data Networking