在社交网络上检测和治疗精神疾病

2017 IEEE International Conference on Healthcare Informatics (ICHI) Pub Date : 2017-09-08 DOI:10.1109/ICHI.2017.24

Akkapon Wongkoblap, Miguel A. Vadillo, V. Curcin

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引用次数: 13

摘要

精神疾病正在成为世界范围内一个严重的全球性健康问题，越来越多的患者患有抑郁症、焦虑症和其他疾病。需要新的解决方案来解决这个问题。本研究项目的主要目标是建立预测模型，从社交网络数据中对心理健康状况不佳的用户进行分类，然后实施干预模型来帮助这些用户。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Detecting and Treating Mental Illness on Social Networks

Mental illness is becoming a serious global health problem worldwide, with a growing number of patients suffering from depression, anxiety and other disorders. New solutions are needed to tackle this issue. The main goal of this research project is to develop prediction models to classify users with poor mental health from social network data and then implement an intervention model to help these users.

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2017 IEEE International Conference on Healthcare Informatics (ICHI)

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