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

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第一作者： Francis,Vekeman

第一单位： a Groupe d'analyse Ltée , Montréal , QC , Canada.

作者： Francis,Vekeman ^[1] ; Jesus Eric,Piña-Garza ^[2] ; Wendy Y,Cheng ^[3] ; Edward,Tuttle ^[4] ; Philippe,Giguère-Duval ^[1] ; Arman,Oganisian ^[3] ; Joseph,Damron ^[3] ; Mei,Sheng Duh ^[3] ; Vivienne,Shen ^[5] ; Timothy B,Saurer ^[5] ; Georgia D,Montouris ^[6] ; Jouko,Isojarvi ^[5]

作者单位： a Groupe d'analyse Ltée , Montréal , QC , Canada. ^[1] b The Children's Hospital at TriStar Centennial Medical Center , Nashville , TN , USA. ^[2] c Analysis Group Inc. , Boston , MA , USA. ^[3] d Analysis Group Inc. , Menlo Park , CA , USA. ^[4] e Lundbeck , Deerfield , IL , USA. ^[5] f Boston University School of Medicine , Boston , MA , USA. ^[6]

关键词 Epilepsy LGS LGS classifier Lennox–Gastaut syndrome machine learning random forest methodology

主题词数据库, 事实型(Databases, Factual);决策树(Decision Trees);人类(Humans);Medicaid(Medicaid);模型, 统计学(Models, Statistical);癫痫持续状态(Status Epilepticus);美国(United States)

DOI 10.1080/03007995.2019.1595552

PMID 30870597

发布时间 2020-06-09

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