An interpretable machine learning model for individualized gonadotrophin starting dose selection during ovarian stimulation
Author:
Publisher
Elsevier BV
Subject
Developmental Biology,Reproductive Medicine,Obstetrics and Gynecology
Reference28 articles.
1. Comparison of specificity and sensitivity of AMH and FSH in diagnosis of premature ovarian failure;Alipour;Disease Markers,2015
2. Ovarian response to recombinant human follicle-stimulating hormone: a randomized, antimüllerian hormone–stratified, dose–response trial in women undergoing in vitro fertilization/intracytoplasmic sperm injection;Arce;Fertility and Sterility,2014
3. Gonadotropin dose is negatively correlated with live birth rate: analysis of more than 650,000 assisted reproductive technology cycles;Baker;Fertility and Sterility,2015
4. What is the optimum maximal gonadotropin dosage used in microdose flare-up cycles in poor responders?;Berkkanoglu;Fertility and Sterility,2010
5. FSH dose is negatively correlated with number of oocytes retrieved: analysis of a data set with ∼650,000 ART cycles that previously identified an inverse relationship between FSH dose and live birth rate;Clark;Journal of Assisted Reproduction and Genetics,2021
Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Research perspectives in the postintracytoplasmic sperm injection era;Male Infertility;2025
2. Optimizing trigger timing in minimal ovarian stimulation for In Vitro fertilization using machine learning models with random search hyperparameter tuning;Computers in Biology and Medicine;2024-09
3. Optimizing oocyte yield utilizing a machine learning model for dose and trigger decisions, a multi-center, prospective study;Scientific Reports;2024-08-20
4. Artificial Intelligence, Clinical Decision Support Algorithms, Mathematical Models, Calculators Applications in Infertility: Systematic Review and Hands-On Digital Applications;Mayo Clinic Proceedings: Digital Health;2024-08
5. Harnessing Artificial Intelligence to Predict Ovarian Stimulation Outcomes in In Vitro Fertilization: Scoping Review;Journal of Medical Internet Research;2024-07-05
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3