Accurate Prediction and Detection of Suicidal Risk using Random Forest Algorithm-Reference-Cited by-同舟云学术

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Accurate Prediction and Detection of Suicidal Risk using Random Forest Algorithm

Published:2024-05-03 Issue: Volume:5 Page:287-292
ISSN:
Container-title:2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN)
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Author:

N Saravanan¹,G Moheshkumar²,Mohammed Shaid V.M³,Purushothman S³,Gokul Sanjai V³

Affiliation:

1. K S R College of Engineering,Department of IT,Trichengode,Tamilnadu,637215

2. K S R College of Engineering,Faculty of Information Technology,Department of IT,Trichengode,Tamilnadu,637215

3. KSR Institute for Engineering and Technology,Department of IT,Tiruchengode,Tamilnadu,637215

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10607378/10607379/10607650.pdf?arnumber=10607650

Reference27 articles.

1. Prediction Models for Suicide Attempts and Deaths

2. Predictors of Emerging Suicide Death Among Military Personnel on Social Media Networks

3. Efficient enhanced intrusion identification and response system for MANETs

4. Natural Language Processing of Social Media as Screening for Suicide Risk

5. Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research.

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