Predicting Future High-Cost Schizophrenia Patients Using High-Dimensional Administrative Data

Predicting Future High-Cost Schizophrenia Patients Using High-Dimensional Administrative Data

BackgroundThe burden of serious and persistent mental illness such as schizophrenia is substantial and requires health-care organizations to have adequate risk adjustment models to effectively allocate their resources to managing patients who are at the greatest risk. Currently available models unde...

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Bibliographic Details
Main Authors: Yajuan Wang, Vijay Iyengar, Jianying Hu, David Kho, Erin Falconer, John P. Docherty, Gigi Y. Yuen
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-06-01
Series:Frontiers in Psychiatry
Subjects:
health-care cost
machine learning
feature selection
model selection
schizophrenia
Online Access:http://journal.frontiersin.org/article/10.3389/fpsyt.2017.00114/full

Internet

http://journal.frontiersin.org/article/10.3389/fpsyt.2017.00114/full

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