Mining and Interpretation of Critical Aspects of Infant Health Status Using Multi-Objective Evolutionary Feature Selection Approaches-Reference-Cited by-同舟云学术

Mining and Interpretation of Critical Aspects of Infant Health Status Using Multi-Objective Evolutionary Feature Selection Approaches

Published:2022 Issue: Volume:10 Page:32622-32638
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Piri Jayashree¹^ORCID,Mohapatra Puspanjali¹^ORCID,Singh Debabrata²,Samanta Debabrata³^ORCID,Singh Dilbag⁴^ORCID,Kaur Manjit⁴^ORCID,Lee Heung-No⁴^ORCID

Affiliation:

1. Department of CSE, International Institute of Information Technology, Bhubaneswar, Bhubaneswar, Odisha, India

2. Department of Computer Application, Institute of Technical Education and Research (ITER), Siksha ‘O’ Anusandhan (SOA) Deemed to be University, Bhubaneswar, Odisha, India

3. Department of Computer Science, CHRIST University, Bangalore, Karnataka, India

4. School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, South Korea

Funder

National Research Foundation of Korea NRF

Ministry of Science and ICT Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09739006.pdf?arnumber=9739006

Reference42 articles.

1. Antenatal corticosteroids and fetal lung immaturity in preterm birth

2. The Impact of Maternal Antibiotics on Neonatal Disease

3. Prediction of short-term health outcomes in preterm neonates from heart-rate variability and blood pressure using boosted decision trees

4. Artificial neural networks for infant mortality modelling

5. Feature selection and prediction of small-for-gestational-age infants

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