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Machine Learning Models for Prediction of Xenobiotic Chemic..:

Sudharsan Vijayaraghavan ; Akshaya Lakshminarayanan ; Naman Bhargava...
https://figshare.com/articles/journal_contribution/Machine_Learning_Models_for_Prediction_of_Xenobiotic_Chemicals_with_High_Propensity_to_Transfer_into_Human_Milk/25351944. , 2024

Link: https://doi.org/10.1021/acsomega.3c09392.s002

RT Journal
T1 <Title>Machine Learning Models for Prediction of Xenobiotic Chemicals with High Propensity to Transfer into Human Milk</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonianinsp:oai:figshare.com:article_25351944&Exemplar=1&LAN=DE
				
A1 Sudharsan Vijayaraghavan
A1 Akshaya Lakshminarayanan
A1 Naman Bhargava
A1 Janani Ravichandran
A1 R. P. Vivek-Ananth
A1 Areejit Samal
YR 2024
K1 Biochemistry
K1 Cancer
K1 Plant Biology
K1 Environmental Sciences not elsewhere classified
K1 Biological Sciences not elsewhere classified
K1 Mathematical Sciences not elsewhere classified
K1 Chemical Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 different performance metrics
K1 support vector machine
K1 study also highlights
K1 impacting infant exposure
K1 test data achieved
K1 chemicals could achieve
K1 2 </ sup
K1 machine learning models
K1 best regression models
K1 machine learning
K1 test data
K1 study attests
K1 infant health
K1 >< sup
K1 r </
K1 f </
K1 based models
K1 xenobiotic chemicals
K1 vital source
K1 significant concern
K1 plasma concentration
K1 maternal plasma
K1 maternal exposome
K1 immense potential
K1 human exposome
K1 high propensity
K1 essential nutrients
K1 environmental chemicals
K1 earlier literature
K1 critical metric
K1 based classifier
K1 >- score
K1 84 %
K1 78 %
K1 64 %
K1 375 chemicals
K1 33 %
K1 31 %
JF https://figshare.com/articles/journal_contribution/Machine_Learning_Models_for_Prediction_of_Xenobiotic_Chemicals_with_High_Propensity_to_Transfer_into_Human_Milk/25351944
LK http://dx.doi.org/https://doi.org/10.1021/acsomega.3c09392.s002
DO https://doi.org/10.1021/acsomega.3c09392.s002
SF ELIB - SuUB Bremen

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