Developing a Hierarchical Algorithm to Identify Pregnancies and Determine Gestational Age from Nationwide Linked Health Data in Taiwan.

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Title: Developing a Hierarchical Algorithm to Identify Pregnancies and Determine Gestational Age from Nationwide Linked Health Data in Taiwan.
Authors: Hsieh MH; School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan City, 70101, Taiwan.; Population Health Data Center, National Cheng Kung University, Tainan City, 70101, Taiwan.; Department of Pharmacy, Linkou Chang Gung Memorial Hospital, Taoyuan City, 33305, Taiwan., Chang ZC; School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan City, 70101, Taiwan.; Population Health Data Center, National Cheng Kung University, Tainan City, 70101, Taiwan., Lin CW; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA., Li BM; School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan City, 70101, Taiwan.; Population Health Data Center, National Cheng Kung University, Tainan City, 70101, Taiwan., Lai EC; School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan City, 70101, Taiwan.; Population Health Data Center, National Cheng Kung University, Tainan City, 70101, Taiwan., Huang WT; Global Health Program, College of Public Health, National Taiwan University, Taipei City, 10055, Taiwan. huangwt@g.ntu.edu.tw.; National Taiwan University Children's Hospital, Taipei City, 10041, Taiwan. huangwt@g.ntu.edu.tw.
Source: Drug safety [Drug Saf] 2026 Jun 20. Date of Electronic Publication: 2026 Jun 20.
Publication Type: Journal Article
Journal Info: Publisher: Adis, Springer International Country of Publication: New Zealand NLM ID: 9002928 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1179-1942 (Electronic) Linking ISSN: 01145916 NLM ISO Abbreviation: Drug Saf Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1179-1942
DOI:10.1007/s40264-026-01688-0