Investigating the Use of Machine Learning Models to Understand the Drugs Permeability Across Placenta-Reference-Cited by-同舟云学术

Investigating the Use of Machine Learning Models to Understand the Drugs Permeability Across Placenta

Published:2023 Issue: Volume:11 Page:52726-52739
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chandrasekar Vaisali¹,Ansari Mohammed Yusuf²,Singh Ajay Vikram³,Uddin Shahab⁴^ORCID,Prabhu Kirthi S.⁴,Dash Sagnika⁵,Khodor Souhaila Al⁶,Terranegra Annalisa⁶^ORCID,Avella Matteo⁶,Dakua Sarada Prasad¹^ORCID

Affiliation:

1. Department of Surgery, Hamad Medical Corporation, Doha, Qatar

2. Electrcial and Computer Engineering, Texas A&M University, College Station, TX, USA

3. German Federal Institute for Risk Assessment (BfR), Berlin, Germany

4. Hamad Medical Corporation, Translational Research Institute, Academic Health System, Doha, Qatar

5. Department of Obstetrics and Gynecology, Apollo Clinic, Doha, Qatar

6. Maternal and Child Health Department, Research Branch, Sidra Medicine, Ar-Rayyan, Doha, Qatar

Funder

Qatar National Research Fund

Medical Research Center, Hamad Medical Corporation, Doha, Qatar

Qatar National Library

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/ielx7/6287639/10005208/10115411.pdf?arnumber=10115411

Reference59 articles.

1. Performance divergence with data discrepancy: a review

2. Is it safe to use inhaled corticosteroids in pregnancy?;smy;Canadian Family Physic,2014

3. LV Segmentation Using Stochastic Resonance and Evolutionary Cellular Automata

4. The immunological code of pregnancy

5. A PCA-based approach for brain aneurysm segmentation

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