Deep learning approach on tabular data to predict early-onset neonatal sepsis

Deep learning approach on tabular data to predict early-onset neonatal sepsis

Neonatal sepsis that is a major threat for maternal and neonatal health worldwide. In this work we design non-invasive, deep learning classification models for predicting accurately and efficiently the early-onset sepsis in neonates in Neonatal Intensive Care Units. By non-invasive, it means that no...

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Bibliographic Details
Main Authors: Redwan Hasif Alvi, Md. Habibur Rahman, Adib Al Shaeed Khan, Rashedur M. Rahman
Format: Article
Language:English
Published: Taylor & Francis Group 2021-04-01
Series:Journal of Information and Telecommunication
Subjects:
machine learning
convolution neural networks
lstm
tabular data
neonatal sepsis
Online Access:http://dx.doi.org/10.1080/24751839.2020.1843121

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