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

Autor:	Jesus Eric Piña-Garza, Philippe Giguere-Duval, Mei Sheng Duh, Timothy B. Saurer, Joseph Damron, Jouko Isojarvi, Francis Vekeman, Georgia Montouris, Edward Tuttle, Wendy Y. Cheng, Vivienne Shen, Arman Oganisian
Rok vydání:	2019
Předmět:	Actuarial science Models Statistical Databases Factual business.industry Lennox Gastaut Syndrome Medicaid Decision Trees General Medicine 030204 cardiovascular system & hematology medicine.disease United States Random forest 03 medical and health sciences 0302 clinical medicine Status Epilepticus Health insurance Medicine Humans 030212 general & internal medicine Claims database business Classifier (UML) Administrative Claims Healthcare Lennox–Gastaut syndrome
Zdroj:	Current medical research and opinion. 35(8)
ISSN:	1473-4877
Popis:	Objective: 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.Methods...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e832e1d49e45a0cfd1f0a77400cc5e56 https://pubmed.ncbi.nlm.nih.gov/30870597 Zobrazit plný text záznamu