Development of machine learning models for predicting early pregnancy outcomes based on β-hCG, progesterone, and estradiol.
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| Title: | Development of machine learning models for predicting early pregnancy outcomes based on β-hCG, progesterone, and estradiol. |
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| Authors: | Chen L; Department of Obstetrics and Gynecology, Longxi County Traditional Chinese Medicine Hospital, Dingxi, China., Mu F; Department of Reproductive Medicine, Lanzhou University Second Hospital, Lanzhou, China., Wang K; Department of Reproductive Medicine, Lanzhou University Second Hospital, Lanzhou, China., Wang F; Department of Reproductive Medicine, Lanzhou University Second Hospital, Lanzhou, China. |
| Source: | PloS one [PLoS One] 2026 Apr 27; Vol. 21 (4), pp. e0348114. Date of Electronic Publication: 2026 Apr 27 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0348114 |
