Article

A Comparison of Random Forest and Decision Tree for Suicide Ideation Classification

2020-09-15

Abstract excerpt

<h4>Background: </h4> Suicide resulted from complex interaction factors. Most classical statistical methods were not efficiently enough to cover this complexity. With the new branch of statistics as statistical/machine learning, complex relationships between risk factors and responses can be modeled. <h4>Methods: </h4>: We aimed to identify the high-risk groups for suicide using different classification methods in...

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Literature Corpus work: da72cce6-ce48-5145-963b-250dafcbecfc
DOI: 10.21203/rs.3.rs-66839/v1

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