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

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 o...

Full description

Bibliographic Details
Main Authors: Payam AMINI, Hasan AHMADINIA, Jalal POOROLAJAL, Mohammad MOQADDASI AMIRI
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2016-10-01
Series:Iranian Journal of Public Health
Subjects:
Suicide
Support vector machine
Neuralnetworks
Logistic regression
Decision tree
Classification
Online Access:https://ijph.tums.ac.ir/index.php/ijph/article/view/7869

Similar Items

Similar Items