Record Details

Live Birth Gestational Age Algorithms in Healthcare Utilization Database

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Live Birth Gestational Age Algorithms in Healthcare Utilization Database
 
Identifier https://doi.org/10.7910/DVN/0PGCGW
 
Creator Zhu, Yanmin
Thai, Thuy N.
Hernandez-Diaz, Sonia
Bateman, Brian T.
Winterstein, Almut G.
Straub, Loreen
Franklin, Jessica M.
Gray, Kathryn J.
Mogun, Helen
Vine, Seanna
Taylor, Lockwood G.
Ouellet-Hellstrom, Rita
Ma, Yong
Qiang, Yandong
Hua, Wei
Huybrechts, Krista F.
 
Publisher Harvard Dataverse
 
Description

In this study, we developed and validated two new claims-based live birth gestational age algorithms, using random forests.



Please cite the paper if you implemented any of the following algorithms in your study.



Algorithm 1: The best performing algorithm, including all 246 predictors, ntree=500, mtry=p/3.


Algorithm 2: The simplified algorithm with comparable performance, including 24 predictors, ntree=500, mtry=p/3, ≥ 0.5% variable importance.



Please follow the cohort creation in the published paper on the development and validation of the algorithms and use the implementation guide "READ ME_Gestational Age Algorithm Implementation Guide" to implement the gestational age algorithm properly in your database.
 
Subject Medicine, Health and Life Sciences
Gestational age
Algorithm
Medicaid database
 
Date 2021-10-05
 
Contributor Zhu, Yanmin