Newborn Weight Prediction And Interpretation Utilizing Explainable Machine Learning-Reference-Cited by-同舟云学术

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Newborn Weight Prediction And Interpretation Utilizing Explainable Machine Learning

Published:2024-04-25 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)
language:
Short-container-title:

Author:

Chowdhury Safiul Haque¹,Mamun Mohammad¹,Hossain Muhammad Minoar²,Hossain Mohammad Ibrahim¹,Iqbal Md. Sadiq¹,Kashem Mohammod Abul³

Affiliation:

1. Bangladesh University,Department of Computer Science and Engineering,Dhaka,Bangladesh

2. Mawlana Bhashani Science and Technology University,Department of Computer Science and Engineering,Dhaka,Bangladesh

3. Dhaka University of Engineering and Technology,Department of Computer Science and Engineering,Gazipur,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10561631/10561632/10561798.pdf?arnumber=10561798

Reference22 articles.

1. Risk Factors for Low Birth Weight among Term Newborns in Babil Maternity and Children Teaching Hospital

2. Newborn Birth Weight and Associated Factors Among Mother-Neonate Pairs in Public Hospitals, North Wollo, Ethiopia

3. Histogram modification techniques

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