Machine Learning Models for Prediction of Xenobiotic Chemicals with High Propensity to Transfer into Human Milk-Reference-Cited by-同舟云学术

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Machine Learning Models for Prediction of Xenobiotic Chemicals with High Propensity to Transfer into Human Milk

Published:2024-03-06 Issue: Volume: Page:
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Vijayaraghavan Sudharsan¹,Lakshminarayanan Akshaya²,Bhargava Naman²,Ravichandran Janani¹³,Vivek-Ananth R. P.¹³^ORCID,Samal Areejit¹³^ORCID

Affiliation:

1. The Institute of Mathematical Sciences (IMSc), Chennai 600113, India

2. Department of Applied Mathematics and Computational Sciences, PSG College of Technology, Coimbatore 641004, India

3. Homi Bhabha National Institute (HBNI), Mumbai 400094, India

Funder

Department of Atomic Energy, Government of India

Max-Planck-Gesellschaft

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.3c09392

Reference56 articles.

1. Why invest, and what it will take to improve breastfeeding practices?

2. Breastfeeding and Reduced Risk of Sudden Infant Death Syndrome: A Meta-analysis

3. Suboptimal breastfeeding in the United States: Maternal and pediatric health outcomes and costs

4. ExHuMId: A curated resource and analysis of Exposome of Human Milk across India

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