Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention-Reference-Cited by-同舟云学术

Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:The World Wide Web Conference on - WWW '19
language:
Short-container-title:

Author:

Gaur Manas¹,Alambo Amanuel¹,Sain Joy Prakash¹,Kursuncu Ugur¹,Thirunarayan Krishnaprasad¹,Kavuluru Ramakanth²,Sheth Amit¹,Welton Randy³,Pathak Jyotishman⁴

Affiliation:

1. Kno.e.sis Center, Ohio - USA, USA

2. University of Kentucky, Kentucky, USA, USA

3. Department of Psychiatry, Wright State University, Ohio, USA, USA

4. Division of Health Informatics, Weill Cornell Medical College, NY, USA, USA

Publisher

ACM Press

Reference68 articles.

1. Amanuel Alambo, Manas Gaur, Usha Lokala, Ugur Kursuncu, Krishnaprasad Thirunarayan, Amelie Gyrard, Randon S Welton, Jyotishman Pathak, and Amit Sheth. 2019. Question Answering for Suicide Risk Assessment using Reddit. IEEE International Conference on Semantic Computing 2019 (2019).

2. Payam Amini, Hasan Ahmadinia, Jalal Poorolajal, and Mohammad Moqaddasi Amiri. 2016. Evaluating the high risk groups for suicide: A comparison of logistic regression, support vector machine, decision tree and artificial neural network. Iranian journal of public health 45, 9 (2016), 1179.

3. Sanjeev Arora, Yingyu Liang, and Tengyu Ma. 2016. A simple but tough-to-beat baseline for sentence embeddings. (2016).

4. Harish S Bhat and Sidra J Goldman-Mellor. 2017. Predicting Adolescent Suicide Attempts with Neural Networks. arXiv preprint arXiv:1711.10057(2017).

5. J Michael Bostwick, Chaitanya Pabbati, Jennifer R Geske, and Alastair J McKean. 2016. Suicide attempt as a risk factor for completed suicide: even more lethal than we knew. American journal of psychiatry 173, 11 (2016), 1094-1100.

Cited by 83 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A self-attention TCN-based model for suicidal ideation detection from social media posts;Expert Systems with Applications;2024-12

2. Artificial Intelligence-based Suicide Prevention and Prediction: A Systematic Review (2019-2023);Information Fusion;2024-09

3. Language Models for Online Depression Detection: A Review and Benchmark Analysis on Remote Interviews;ACM Transactions on Management Information Systems;2024-08-13

4. Large Language Models in Mental Health Care: A Systematic Scoping Review (Preprint);2024-07-08

5. Advanced deep learning and large language models for suicide ideation detection on social media;Progress in Artificial Intelligence;2024-06