Influence of ambient air pollution on successful pregnancy with frozen embryo transfer: A machine learning prediction model-Reference-Cited by-同舟云学术

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Influence of ambient air pollution on successful pregnancy with frozen embryo transfer: A machine learning prediction model

Published:2022-05 Issue: Volume:236 Page:113444
ISSN:0147-6513
Container-title:Ecotoxicology and Environmental Safety
language:en
Short-container-title:Ecotoxicology and Environmental Safety

Author:

Wan Sheng,Zhao Xiaobo,Niu Zhihong,Dong Lingling,Wu Yuelin,Gu Shengyi,Feng Yun,Hua Xiaolin

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health,Pollution,General Medicine

Reference55 articles.

1. Multicollinearity in regression analysis: the problem revisited %;Anon;J. Rev. Econ. Stat.,1967

2. Indian National Association for the Study of the Liver-Federation of Obstetric and Gynaecological Societies of India position statement on management of liver diseases in pregnancy;Arora;J. Clin. Exp. Hepatol.,2019

3. Embryo transfer: timing and techniques;Bortoletto;Minerva Endocrinol.,2018

4. Prediction of implantation after blastocyst transfer in in vitro fertilization: a machine-learning perspective;Blank;Fertil. Steril.,2019

5. Ambient air pollution and in vitro fertilization treatment outcomes;Boulet;Hum. Reprod.,2019

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1. Association of ambient PM2.5 and its components with in vitro fertilization outcomes: The modifying role of maternal dietary patterns;Ecotoxicology and Environmental Safety;2024-09

2. Testing the generalizability and effectiveness of deep learning models among clinics: sperm detection as a pilot study;Reproductive Biology and Endocrinology;2024-05-22

3. High-spatiotemporal-resolution PM2.5 forecasting by hybrid deep learning models with ensembled massive heterogeneous monitoring data;Journal of Cleaner Production;2023-12

4. Effect of air pollutants on the processes of fertilization and embryo formation;2023-11-09

5. Synthesis optimization and adsorption modeling of biochar for pollutant removal via machine learning;Biochar;2023-04-23

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