Widely accessible prognostication using medical history for fetal growth restriction and small for gestational age in nationwide insured women.

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Title: Widely accessible prognostication using medical history for fetal growth restriction and small for gestational age in nationwide insured women.
Authors: Sufriyana H; Institute of Biomedical Informatics, College of Medicine, National Yang Ming Chiao Tung University, 155 Section 2 Linong Street, Taipei, 112304, Taiwan.; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, 250 Wu-Xing Street, Taipei, 11031, Taiwan.; Department of Medical Physiology, Faculty of Medicine, Universitas Nahdlatul Ulama Surabaya, 57 Raya Jemursari Road, Surabaya, 60237, Indonesia., Amani FZ; Department of Obstetrics and Gynecology, Faculty of Medicine, Universitas Nahdlatul Ulama Surabaya, 57 Raya Jemursari Road, Surabaya, 60237, Indonesia., Al Hajiri AZZ; Faculty of Medicine, Universitas Nahdlatul Ulama Surabaya, 57 Raya Jemursari Road, Surabaya, 60237, Indonesia., Wu YW; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, 250 Wu-Xing Street, Taipei, 11031, Taiwan.; Clinical Big Data Research Center, Taipei Medical University Hospital, 250 Wu-Xing Street, Taipei, 11031, Taiwan., Su EC; Institute of Biomedical Informatics, College of Medicine, National Yang Ming Chiao Tung University, 155 Section 2 Linong Street, Taipei, 112304, Taiwan. emilysu@nycu.edu.tw.; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, 250 Wu-Xing Street, Taipei, 11031, Taiwan. emilysu@nycu.edu.tw.; Clinical Big Data Research Center, Taipei Medical University Hospital, 250 Wu-Xing Street, Taipei, 11031, Taiwan. emilysu@nycu.edu.tw.; Research Center for Artificial Intelligence in Medicine, Taipei Medical University, 250 Wu- Xing Street, Taipei, 11031, Taiwan. emilysu@nycu.edu.tw.
Source: Scientific reports [Sci Rep] 2025 Mar 11; Vol. 15 (1), pp. 8340. Date of Electronic Publication: 2025 Mar 11.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
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