Suicidal Ideation Detection: A Review of Machine Learning Methods and
Applications

Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications

23 October 2019

Zi Huang

Papers citing "Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications"

7 / 7 papers shown

Title
Cyber Risks of Machine Translation Critical Errors : Arabic Mental Health Tweets as a Case Study Hadeel Saadany Ashraf Tantawy Constantin Orasan 42 1 0 19 May 2024
A Picture May Be Worth a Thousand Lives: An Interpretable Artificial Intelligence Strategy for Predictions of Suicide Risk from Social Media Images Yael Badian Yaakov Ophir Refael Tikochinski Nitay Calderon A. Klomek Roi Reichart 22 4 0 19 Feb 2023
Time-to-event modeling of subreddits transitions to r/SuicideWatch Xueying Liu S. Fang G. Mohler J. Carlson Yunyu Xiao 14 2 0 13 Feb 2023
Detecting potentially harmful and protective suicide-related content on twitter: A machine learning approach Hannah Metzler Hubert Baginski Thomas Niederkrotenthaler David Garcia AI4MH 22 13 0 09 Dec 2021
Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling Emily Dinan Gavin Abercrombie A. S. Bergman Shannon L. Spruit Dirk Hovy Y-Lan Boureau Verena Rieser 37 105 0 07 Jul 2021
Learning Models for Suicide Prediction from Social Media Posts Ning Wang F. Luo Yuvraj Shivtare Varsha D. Badal K. P. Subbalakshmi R. Chandramouli Ellen Lee AI4MH 22 36 0 29 Apr 2021
Building and Using Personal Knowledge Graph to Improve Suicidal Ideation Detection on Social Media Lei Cao Huijun Zhang Ling Feng 11 65 0 16 Dec 2020