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Development and Evaluation of Nomogram- and Decision Tree-Based Risk Prediction Models for Severe Ovarian Hyperstimulation Syndrome in Patients with High Ovarian Reserve

2026-08-11

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<title>Abstract</title> <p>Objective To compare the predictive performance of nomogram- and decision tree-based models for severe ovarian hyperstimulation syndrome (OHSS) in patients with high ovarian reserve, and to develop a visual clinical risk assessment tool. Methods This retrospective study included 803 patients with high ovarian reserve who underwent assisted reproduction using a long-acting follicle-pha...

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Literature Corpus work
2da601f4-70e4-5855-82ab-dd1defb3e75c
DOI
10.21203/rs.3.rs-10605652/v1
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Development and Evaluation of Nomogram- and Decision Tree-Based Risk Prediction Models for Severe Ovarian Hyperstimulation Syndrome in Patients with High Ovarian ReserveDOI 10.21203/rs.3.rs-10605652/v1
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