Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction

Shirwaikar, Rudresh D and Acharya, Dinesh U and Makkithaya, Krishnamoorthi and Surulivelrajan, Mallayasamy and Srivastava, Shikhar and Lewis, Leslie (2019) Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction. Artificial Intelligence in Medicine, 98. pp. 59-76. ISSN 0933-3657

[img] PDF
7028.pdf - Published Version
Restricted to Registered users only
Download (432kB) | Request a copy

Abstract

future health. As per the World Health Organization, India has the highest number of pre-term births [1], with over 3.5 million babies born prematurely, and up to 40% of them are babies with low birth weights, highly prone to a multitude of disease

Item Type: Article
Uncontrolled Keywords: Deep network architectures Multi-layer perceptron Optimizing neural network Deep belief networks Deep autoencoders
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 06 Aug 2019 09:40
Last Modified: 06 Aug 2019 09:40
URI: http://eprints.manipal.edu/id/eprint/154312

Actions (login required)

View Item View Item