Evaluating and Refining Claims-Based Algorithms for Pregnancy Outcomes and Gestational Age Estimation in Korea
Hee-Jin Kim, Haerin Cho, Sun-Young Jung, Ju-Young Shin, Seung-Ah Choe, Nam-Kyong Choi · 2026
Read Evaluating and Refining Claims-Based Algorithms for Pregnancy Outcomes and Gestational Age Estimation in Korea by Hee-Jin Kim, Haerin Cho, Sun-Young Jung, Ju-Young Shin, Seung-Ah Choe, Nam-Kyong Choi (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13187394.txt.
Description
Kim, Cho, Jung, Shin, Choe, and Choi refine a claims based algorithm for pregnancy research in Korea in twenty twenty-six. Health insurance claims can identify pregnancies for observational studies. An earlier algorithm was built on pregnancies in women with lupus. Its accuracy for gestational age in the general population was untested.
The team used nationwide claims data from twenty twenty-one and twenty twenty-two. More than five hundred eighty thousand pregnancy episodes were identified. The modified algorithm prioritized early ultrasound codes over later ones. It matched stated gestational age ranges in preterm records far better than the original. Its preterm birth rate also came closer to national statistics. The authors recommend the modified version.
Catalog record
| CREATOR | Hee-Jin Kim, Haerin Cho, Sun-Young Jung, Ju-Young Shin, Seung-Ah Choe, Nam-Kyong Choi |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 31 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |