APS
2022 APS Annual Convention · 2022
Predicting Developmental Delay in Very Pre-Term Infants Using Machine Learning
- Gozde Demirci
CUNY Graduate Center - Chia-Ling Tsai
Queens College, CUNY - Michael Flory
NYS Institute for Basic Research in Developmental Disabilities - Ha Phan
NYS Institute for Basic Research in Developmental Disabilities - Anne Gordon
NYS Institute for Basic Research in Developmental Disabilities - Santosh Parab
Richmond University Medical Center - Phyllis Kittler
NYS Institute for Basic Research in Developmental Disabilities
Abstract
Our aim was to use machine learning for early identification of infants who would be delayed at 25 months. Initially, only predictors available at birth were used. ML produced models with high specificity/few false alarms and low selectivity/many misses. Adding subsequent infant assessments as predictors increased the models’ accuracy.
Other
