2024
DOI: 10.1371/journal.pone.0301117
|View full text |Cite
|
Sign up to set email alerts
|

Explainable artificial intelligence models for predicting risk of suicide using health administrative data in Quebec

Fatemeh Gholi Zadeh Kharrat,
Christian Gagne,
Alain Lesage
et al.

Abstract: Suicide is a complex, multidimensional event, and a significant challenge for prevention globally. Artificial intelligence (AI) and machine learning (ML) have emerged to harness large-scale datasets to enhance risk detection. In order to trust and act upon the predictions made with ML, more intuitive user interfaces must be validated. Thus, Interpretable AI is one of the crucial directions which could allow policy and decision makers to make reasonable and data-driven decisions that can ultimately lead to bett… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 77 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?