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相关论文: Handwriting and Drawing for Depression Detection: …

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The recent coronavirus disease (Covid-19) has become a pandemic and has affected the entire globe. During the pandemic, we have observed a spike in cases related to mental health, such as anxiety, stress, and depression. Depression…

人工智能 · 计算机科学 2025-11-04 Ashutosh Anshul , Gumpili Sai Pranav , Mohammad Zia Ur Rehman , Nagendra Kumar

Social media channels, such as Facebook, Twitter, and Instagram, have altered our world forever. People are now increasingly connected than ever and reveal a sort of digital persona. Although social media certainly has several remarkable…

社会与信息网络 · 计算机科学 2020-08-26 Hatoon S. AlSagri , Mourad Ykhlef

The COVID-19 pandemic has caused substantial damage to global health. Even though three years have passed, the world continues to struggle with the virus. Concerns are growing about the impact of COVID-19 on the mental health of infected…

计算与语言 · 计算机科学 2023-06-14 Jiageng Wu , Xian Wu , Yining Hua , Shixu Lin , Yefeng Zheng , Jie Yang

Online social media provides a channel for monitoring people's social behaviors and their mental distress. Due to the restrictions imposed by COVID-19 people are increasingly using online social networks to express their feelings.…

The detection of negative emotions through daily activities such as handwriting is useful for promoting well-being. The spread of human-machine interfaces such as tablets makes the collection of handwriting samples easier. In this context,…

计算机视觉与模式识别 · 计算机科学 2022-02-25 Laurence Likforman-Sulem , Anna Esposito , Marcos Faundez-Zanuy , Stephan Clemençon , Gennaro Cordasco

Mental disorders such as depression and anxiety have been increasing at alarming rates in the worldwide population. Notably, the major depressive disorder has become a common problem among higher education students, aggravated, and maybe…

计算与语言 · 计算机科学 2020-03-31 Paulo Mann , Aline Paes , Elton H. Matsushima

Depression is a common disease worldwide. It is difficult to diagnose and continues to be underdiagnosed. Because depressed patients constantly share their symptoms, major life events, and treatments on social media, researchers are turning…

计算与语言 · 计算机科学 2025-10-27 Wenli Zhang , Jiaheng Xie , Zhu Zhang , Xiang Liu

Digital phenotyping offers a novel and cost-efficient approach for managing depression and anxiety. Previous studies, often limited to small-to-medium or specific populations, may lack generalizability. We conducted a cross-sectional…

The COVID-19 pandemic has severely affected people's daily lives and caused tremendous economic loss worldwide. However, its influence on people's mental health conditions has not received as much attention. To study this subject, we choose…

社会与信息网络 · 计算机科学 2020-07-03 Yipeng Zhang , Hanjia Lyu , Yubao Liu , Xiyang Zhang , Yu Wang , Jiebo Luo

With ubiquity of social media platforms, millions of people are sharing their online persona by expressing their thoughts, moods, emotions, feelings, and even their daily struggles with mental health issues voluntarily and publicly on…

Depression is debilitating, and not uncommon. Indeed, studies of excessive social media users show correlations with depression, ADHD, and other mental health concerns. Given that there is a large number of people with excessive social…

计算与语言 · 计算机科学 2023-10-04 Dean Ninalga

A wide variety of methods have been developed for identifying depression, but they focus primarily on measuring the degree to which individuals are suffering from depression currently. In this work we explore the possibility of predicting…

机器学习 · 计算机科学 2022-03-22 Guansong Pang , Ngoc Thien Anh Pham , Emma Baker , Rebecca Bentley , Anton van den Hengel

Social network plays an important role in propagating people's viewpoints, emotions, thoughts, and fears. Notably, following lockdown periods during the COVID-19 pandemic, the issue of depression has garnered increasing attention, with a…

计算与语言 · 计算机科学 2023-06-28 Yan Shi , Yao Tian , Chengwei Tong , Chunyan Zhu , Qianqian Li , Mengzhu Zhang , Wei Zhao , Yong Liao , Pengyuan Zhou

We developed computational models to predict the emergence of depression and Post-Traumatic Stress Disorder in Twitter users. Twitter data and details of depression history were collected from 204 individuals (105 depressed, 99 healthy). We…

Social media has recently emerged as a premier method to disseminate information online. Through these online networks, tens of millions of individuals communicate their thoughts, personal experiences, and social ideals. We therefore…

社会与信息网络 · 计算机科学 2016-07-26 Moin Nadeem

Depression is a common mental illness that has to be detected and treated at an early stage to avoid serious consequences. There are many methods and modalities for detecting depression that involves physical examination of the individual.…

人工智能 · 计算机科学 2022-02-08 Kayalvizhi S , Thenmozhi D

We describe the development of a model to detect user-level clinical depression based on a user's temporal social media posts. Our model uses a Depression Symptoms Detection (DSD) classifier, which is trained on the largest existing samples…

计算与语言 · 计算机科学 2023-03-31 Nawshad Farruque , Randy Goebel , Sudhakar Sivapalan , Osmar R. Zaïane

Early detection of mental disorder is crucial as it enables prompt intervention and treatment, which can greatly improve outcomes for individuals suffering from debilitating mental affliction. The recent proliferation of mental health…

机器学习 · 计算机科学 2023-05-12 Ai-Te Kuo , Haiquan Chen , Yu-Hsuan Kuo , Wei-Shinn Ku

With more than 300 million people depressed worldwide, depression is a global problem. Due to access barriers such as social stigma, cost, and treatment availability, 60% of mentally-ill adults do not receive any mental health services.…

计算机视觉与模式识别 · 计算机科学 2018-11-28 Albert Haque , Michelle Guo , Adam S Miner , Li Fei-Fei

In order to develop infocommunications devices so that the capabilities of the human brain may interact with the capabilities of any artificially cognitive system a deeper knowledge of aging is necessary. Especially if society does not want…

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