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With the acceleration of the pace of work and life, people have to face more and more pressure, which increases the possibility of suffering from depression. However, many patients may fail to get a timely diagnosis due to the serious…

Signal Processing · Electrical Eng. & Systems 2021-06-02 Lang He , Mingyue Niu , Prayag Tiwari , Pekka Marttinen , Rui Su , Jiewei Jiang , Chenguang Guo , Hongyu Wang , Songtao Ding , Zhongmin Wang , Wei Dang , Xiaoying Pan

Major Depressive Disorder is one of the leading causes of disability worldwide, yet its diagnosis still depends largely on subjective clinical assessments. Integrating Artificial Intelligence (AI) holds promise for developing objective,…

Artificial Intelligence · Computer Science 2026-05-01 Dorsa Macky Aleagha , Payam Zohari , Mostafa Haghir Chehreghani

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.…

Computer Vision and Pattern Recognition · Computer Science 2018-11-28 Albert Haque , Michelle Guo , Adam S Miner , Li Fei-Fei

Depression is the most common psychological disorder and is considered as a leading cause of disability and suicide worldwide. An automated system capable of detecting signs of depression in human speech can contribute to ensuring timely…

Sound · Computer Science 2023-02-21 Mashrura Tasnim , Jekaterina Novikova

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…

Machine Learning · Computer Science 2022-03-22 Guansong Pang , Ngoc Thien Anh Pham , Emma Baker , Rebecca Bentley , Anton van den Hengel

Objective Alzheimer disease (AD) is the most common cause of dementia, a syndrome characterized by cognitive impairment severe enough to interfere with activities of daily life. We aimed to conduct a systematic literature review (SLR) of…

Quantitative Methods · Quantitative Biology 2021-08-31 Sayantan Kumar , Inez Oh , Suzanne Schindler , Albert M Lai , Philip R O Payne , Aditi Gupta

Depression commonly co-occurs with neurodegenerative disorders like Multiple Sclerosis (MS), yet the potential of speech-based Artificial Intelligence for detecting depression in such contexts remains unexplored. This study examines the…

Computation and Language · Computer Science 2025-08-26 Monica Gonzalez-Machorro , Uwe Reichel , Pascal Hecker , Helly Hammer , Hesam Sagha , Florian Eyben , Robert Hoepner , Björn W. Schuller

Depression has been the leading cause of mental-health illness worldwide. Major depressive disorder (MDD), is a common mental health disorder that affects both psychologically as well as physically which could lead to loss of lives. Due to…

Computer Vision and Pattern Recognition · Computer Science 2019-09-05 Anupama Ray , Siddharth Kumar , Rutvik Reddy , Prerana Mukherjee , Ritu Garg

Background: Depression is a major public health concern, affecting an estimated five percent of the global population. Early and accurate diagnosis is essential to initiate effective treatment, yet recognition remains challenging in many…

Signal Processing · Electrical Eng. & Systems 2025-11-21 Jana Weber , Marcel Weber , Juan Miguel Lopez Alcaraz

Automatic speech recognition (ASR) technology can aid in the detection, monitoring, and assessment of depressive symptoms in individuals. ASR systems have been used as a tool to analyze speech patterns and characteristics that are…

Human-Computer Interaction · Computer Science 2023-08-17 Alice Othmani , Muhammad Muzammel

Autism Spectrum Disorder (ASD) is one neuro developmental disorder that is now widespread in the world. ASD persists throughout the life of an individual, impacting the way they behave and communicate, resulting to notable deficits…

Computer Vision and Pattern Recognition · Computer Science 2023-03-23 Godfrin Ismail , Kenneth Chesoli , Golda Moni , Kinyua Gikunda

Depression is a debilitating mood disorder negatively impacting millions worldwide. While researchers have explored multiple verbal and non-verbal behavioural cues for automated depression assessment, head motion has received little…

Preliminary detection of mild depression could immensely help in effective treatment of the common mental health disorder. Due to the lack of proper awareness and the ample mix of stigmas and misconceptions present within the society,…

Depression has affected millions of people worldwide and has become one of the most common mental disorders. Early mental disorder detection can reduce costs for public health agencies and prevent other major comorbidities. Additionally,…

Computation and Language · Computer Science 2024-04-09 Giuliano Lorenzoni , Cristina Tavares , Nathalia Nascimento , Paulo Alencar , Donald Cowan

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…

Social and Information Networks · Computer Science 2020-08-26 Hatoon S. AlSagri , Mourad Ykhlef

In this paper, we aimed at reviewing several different approaches present today in the search for more accurate diagnostic and treatment management in mental healthcare. Our focus is on mood disorders, and in particular on the major…

Neurons and Cognition · Quantitative Biology 2019-03-28 Milena Cukic Radenkovic

Depression disorder is a serious health condition that has affected the lives of millions of people around the world. Diagnosis of depression is a challenging practice that relies heavily on subjective studies and, in most cases, suffers…

Signal Processing · Electrical Eng. & Systems 2025-03-26 Amir Nassibi , Christos Papavassiliou , Ildar Rakhmatulin , Danilo Mandic , S. Farokh Atashzar

Depression is a common mental disorder that causes people to experience depressed mood, loss of interest or pleasure, feelings of guilt or low self-worth. Traditional clinical depression diagnosis methods are subjective and time consuming.…

Human-Computer Interaction · Computer Science 2022-11-22 Chuang Yu

Depression has proven to be a significant public health issue, profoundly affecting the psychological well-being of individuals. If it remains undiagnosed, depression can lead to severe health issues, which can manifest physically and even…

Human-Computer Interaction · Computer Science 2024-12-03 Chayan Tank , Sarthak Pol , Vinayak Katoch , Shaina Mehta , Avinash Anand , Rajiv Ratn Shah

Depression is a widespread mental disorder that affects millions worldwide. While automated depression assessment shows promise, most studies rely on limited or non-clinically validated data, and often prioritize complex model design over…

Computation and Language · Computer Science 2025-08-07 Zhuang Chen , Guanqun Bi , Wen Zhang , Jiawei Hu , Aoyun Wang , Xiyao Xiao , Kun Feng , Minlie Huang
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