Development and evaluation of clinical pregnancy prediction models for intrauterine insemination using three machine learning algorithms.
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| Title: | Development and evaluation of clinical pregnancy prediction models for intrauterine insemination using three machine learning algorithms. |
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| Authors: | Fu Y; Department of Gynecology, The People's Hospital of Baoan Shenzhen, Shenzhen, China., Li D; Department of Gynecology, The People's Hospital of Baoan Shenzhen, Shenzhen, China., Xia X; Department of Reproductive Medicine, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China., Li C; Department of Gynecology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China., Wang J; Department of Gynecology, The People's Hospital of Baoan Shenzhen, Shenzhen, China., Zhang C; Department of Reproductive Medicine, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China. |
| Source: | Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2026 Apr 24; Vol. 17, pp. 1749988. Date of Electronic Publication: 2026 Apr 24 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-2392 |
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| DOI: | 10.3389/fendo.2026.1749988 |
