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This paper is in the following e-collection/theme issue:

Artificial Intelligence (4625) Clinical Information and Decision Making (3610) Obstetrics, Gynecology, and Reproductive Medicine (410) Decision Support for Health Professionals (2170) Machine Learning (3105) Precision Medicine (430)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78245, first published .
Model of female reproductive system showing uterus with fibroids and cysts.

Integrated Prediction System for Individualized Ovarian Stimulation and Ovarian Hyperstimulation Syndrome Prevention: Algorithm Development and Validation

Integrated Prediction System for Individualized Ovarian Stimulation and Ovarian Hyperstimulation Syndrome Prevention: Algorithm Development and Validation

Authors of this article:

Jingjing Chen1, 2 Author Orcid Image ;   Jianjuan Zhao3, 4, 5 Author Orcid Image ;   Huiyu Qiu1, 2 Author Orcid Image ;   Yanhui Liu5 Author Orcid Image ;   Yunqi Zhang3 Author Orcid Image ;   Qicheng Sun3 Author Orcid Image ;   Yan Yi1, 2 Author Orcid Image ;   Hongying Tang1, 2 Author Orcid Image ;   Jing Zhao1, 2 Author Orcid Image ;   Bin Xu1, 2 Author Orcid Image ;   Qiong Zhang1, 2 Author Orcid Image ;   Ge Yang6 Author Orcid Image ;   Hui Li1, 2 Author Orcid Image ;   Junjie Liu5 Author Orcid Image ;   Zhongzhou Yang7 Author Orcid Image ;   Shaolin Liang3, 4, 5 Author Orcid Image ;   Yanping Li1, 2 Author Orcid Image ;   Jing Fu1, 2 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Meng X, Xia T, Wei S, Xu Q, Yuan D, Yu L. Development and internal validation of a post-retrieval machine learning models for OHSS risk stratification in assisted reproductive technology: an exploratory study. Frontiers in Endocrinology 2026;17 View
  2. Mao J, Luo S, Wang J, Yuan B. A machine learning-based framework for predicting ovarian response and OHSS risk in GnRH antagonist IVF/ICSI cycles: a multi-objective optimization approach. Middle East Fertility Society Journal 2026;31(1) View