Development of a classifier to identify patients with probable Lennox–Gastaut syndrome in health insurance claims databases via random forest methodology

Francis Vekeman,Jesus Eric Piña-Garza,Wendy Y. Cheng,Edward Tuttle,Philippe Giguère-Duval,Arman Oganisian,Joseph Damron,Mei Sheng Duh,Vivienne Shen,Timothy B. Saurer,Georgia Montouris,Jouko Isojarvi

Development of a classifier to identify patients with probable Lennox–Gastaut syndrome in health insurance claims databases via random forest methodology

2019

Francis Vekeman
Jesus Eric Piña-Garza
Wendy Y. Cheng
Edward Tuttle
Philippe Giguère-Duval
Arman Oganisian
Joseph Damron
Mei Sheng Duh
Vivienne Shen
Timothy B. Saurer
Georgia Montouris
Jouko Isojarvi

AbstractObjective: Describe the development of a claims-based classifier utilizing machine learning to identify patients with probable Lennox–Gastaut syndrome (LGS) from six state Medicaid programs...

Keywords:

Lennox–Gastaut syndrome
Anesthesia
Pediatrics
Classifier (linguistics)
Medicine
Random forest
health insurance
Family medicine
Medicaid
Epilepsy
claims database

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