Predicting cumulative live birth rate for patients undergoing in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) for tubal and male infertility: a machine learning approach using XGBoost

Detalles Bibliográficos
Autores principales: Chen, Zhiyan, Zhang, Duoduo, Zhen, Jingran, Sun, Zhengyi, Yu, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Correspondence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276286/
https://www.ncbi.nlm.nih.gov/pubmed/35730375
http://dx.doi.org/10.1097/CM9.0000000000001874
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author Chen, Zhiyan
Zhang, Duoduo
Zhen, Jingran
Sun, Zhengyi
Yu, Qi
author_facet Chen, Zhiyan
Zhang, Duoduo
Zhen, Jingran
Sun, Zhengyi
Yu, Qi
author_sort Chen, Zhiyan
collection PubMed
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spelling pubmed-92762862022-07-13 Predicting cumulative live birth rate for patients undergoing in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) for tubal and male infertility: a machine learning approach using XGBoost Chen, Zhiyan Zhang, Duoduo Zhen, Jingran Sun, Zhengyi Yu, Qi Chin Med J (Engl) Correspondence Lippincott Williams & Wilkins 2022-04-20 2021-12-08 /pmc/articles/PMC9276286/ /pubmed/35730375 http://dx.doi.org/10.1097/CM9.0000000000001874 Text en Copyright © 2022 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Correspondence
Chen, Zhiyan
Zhang, Duoduo
Zhen, Jingran
Sun, Zhengyi
Yu, Qi
Predicting cumulative live birth rate for patients undergoing in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) for tubal and male infertility: a machine learning approach using XGBoost
title Predicting cumulative live birth rate for patients undergoing in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) for tubal and male infertility: a machine learning approach using XGBoost
title_full Predicting cumulative live birth rate for patients undergoing in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) for tubal and male infertility: a machine learning approach using XGBoost
title_fullStr Predicting cumulative live birth rate for patients undergoing in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) for tubal and male infertility: a machine learning approach using XGBoost
title_full_unstemmed Predicting cumulative live birth rate for patients undergoing in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) for tubal and male infertility: a machine learning approach using XGBoost
title_short Predicting cumulative live birth rate for patients undergoing in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) for tubal and male infertility: a machine learning approach using XGBoost
title_sort predicting cumulative live birth rate for patients undergoing in vitro fertilization (ivf)/intracytoplasmic sperm injection (icsi) for tubal and male infertility: a machine learning approach using xgboost
topic Correspondence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276286/
https://www.ncbi.nlm.nih.gov/pubmed/35730375
http://dx.doi.org/10.1097/CM9.0000000000001874
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