Evaluating the High Risk Groups for Suicide: A Comparison of Logistic Regression, Support Vector Machine, Decision Tree and Artificial Neural Network

BACKGROUND: We aimed to assess the high-risk group for suicide using different classification methods includinglogistic regression (LR), decision tree (DT), artificial neural network (ANN), and support vector machine (SVM). METHODS: We used the dataset of a study conducted to predict risk factors of...

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Detalles Bibliográficos
Autores principales: AMINI, Payam, AHMADINIA, Hasan, POOROLAJAL, Jalal, MOQADDASI AMIRI, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2016
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5149472/
https://www.ncbi.nlm.nih.gov/pubmed/27957463

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5149472/
https://www.ncbi.nlm.nih.gov/pubmed/27957463

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