Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review

Published:2022-11-22 Issue: Volume: Page:
ISSN:1871-4080
Container-title:Cognitive Neurodynamics
language:en
Short-container-title:Cogn Neurodyn

Author:

Barua Prabal Datta,Vicnesh Jahmunah,Lih Oh Shu,Palmer Elizabeth Emma,Yamakawa Toshitaka,Kobayashi Makiko,Acharya Udyavara Rajendra

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience

Link

https://link.springer.com/content/pdf/10.1007/s11571-022-09904-0.pdf

Reference130 articles.

1. Acharya UR et al (2015) A novel depression diagnosis index using nonlinear features in EEG signals. Eur Neurol 74(1–2):79–83

2. Afshan A, Guo J, Park SJ, Ravi V, Flint J, Alwan A (2018) Effectiveness of voice quality features in detecting depression. In: Proceedings of the annual conference of the international speech communication association interspeech. pp 1676–1680

3. Ahmed A, Sultana R, Ullas MTR, Begom M, Rahi MMI, Alam MA (2020) A machine learning approach to detect depression and anxiety using supervised learning. In: 2020 IEEE Asia-Pacific Conference on computer science and data engineering (CSDE), pp. 1–6

4. Ahmedani BK et al (2014) Health care contacts in the year before suicide death. J Gen Intern Med 29(6):870–877

5. Albuquerque L, Valente ARS, Teixeira A, Figueiredo D, Sa-Couto P, Oliveira C (2021) Association between acoustic speech features and non-severe levels of anxiety and depression symptoms across lifespan. PLoS ONE 16(4):1–20

Cited by 7 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. Data mining process to detect suicidal behaviour in out-of-hospital emergency departments;Engineering Applications of Artificial Intelligence;2024-10

2. Evaluating deep learning techniques for identifying tongue features in subthreshold depression: a prospective observational study;Frontiers in Psychiatry;2024-08-08

3. Childhood maltreatment, parenting style and anxiety in Chinese youths: A case-control study;Child Abuse & Neglect;2024-07

4. Machine Learning-Based Approaches for Early Prediction of Depression;2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE);2024-01-24

5. Suicidal Tweet Detection Using Ensemble Learning: A Multi-Model Approach for Early Intervention;2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS);2023-11-16

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3