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Related papers: Mental Health and Sensing

200 papers

Cardiovascular disorders account for nearly 1 in 3 deaths in the United States. Care for these disorders are often determined during visits to acute care facilities, such as hospitals. While the length of stay in these settings represents…

Signal Processing · Electrical Eng. & Systems 2019-08-20 Nathan C. Hurley , Erica S. Spatz , Harlan M. Krumholz , Roozbeh Jafari , Bobak J. Mortazavi

Social media is one of the most highly sought resources for analyzing characteristics of the language by its users. In particular, many researchers utilized various linguistic features of mental health problems from social media. However,…

Computation and Language · Computer Science 2023-06-06 Hoyun Song , Jisu Shin , Huije Lee , Jong C. Park

Cognitive diagnosis has been developed for decades as an effective measurement tool to evaluate human cognitive status such as ability level and knowledge mastery. It has been applied to a wide range of fields including education, sport,…

Artificial Intelligence · Computer Science 2024-07-09 Fei Wang , Weibo Gao , Qi Liu , Jiatong Li , Guanhao Zhao , Zheng Zhang , Zhenya Huang , Mengxiao Zhu , Shijin Wang , Wei Tong , Enhong Chen

Compared to physical health, population mental health measurement in the U.S. is very coarse-grained. Currently, in the largest population surveys, such as those carried out by the Centers for Disease Control or Gallup, mental health is…

Regarding the rising number of people suffering from mental health illnesses in today's society, the importance of mental health cannot be overstated. Wearable sensors, which are increasingly widely available, provide a potential way to…

Machine Learning · Computer Science 2023-10-16 Anket Patil , Dhairya Shah , Abhishek Shah , Mokshit Gala

Multimodal health sensing offers rich behavioral signals for assessing mental health, yet translating these numerical time-series measurements into natural language remains challenging. Current LLMs cannot natively ingest long-duration…

The nature of mental illness remains a conundrum. Traditional disease categories are increasingly suspected to mis-represent the causes underlying mental disturbance. Yet, psychiatrists and investigators now have an unprecedented…

Applications · Statistics 2017-05-31 Danilo Bzdok , Andreas Meyer-Lindenberg

Distress is a complex condition which affects a significant percentage of cancer patients and may lead to depression, anxiety, sadness, suicide and other forms of psychological morbidity. Compelling evidence supports screening for distress…

Human-Computer Interaction · Computer Science 2020-07-29 Rajib Rana , Siddique Latif , Raj Gururajan , Anthony Gray , Geraldine Mackenzie , Gerald Humphris , Jeff Dunn

Epilepsy is one of the most occurring neurological disease globally emerged back in 4000 BC. It is affecting around 50 million people of all ages these days. The trait of this disease is recurrent seizures. In the past few decades, the…

Machine Learning · Computer Science 2021-11-08 Virender Ranga , Shivam Gupta , Jyoti Meena , Priyansh Agrawal

In the context of social well-being and context awareness several eHealth applications have been focused on tracking activities, such as sleep or specific fitness habits, with the purpose of promoting physical well-being with increasing…

Networking and Internet Architecture · Computer Science 2019-06-20 Rute C. Sofia , Saeik Firdose , Luis A. Lopes , Waldir Moreira , Paulo Mendes

Mental disorders are among the foremost contributors to the global healthcare challenge. Research indicates that timely diagnosis and intervention are vital in treating various mental disorders. However, the early somatization symptoms of…

Computer Vision and Pattern Recognition · Computer Science 2024-09-05 Yichun Li , Shuanglin Li , Syed Mohsen Naqvi

The Experience Sampling Method (ESM) introduces in-situ sampling of human behaviour, and provides researchers and behavioural therapists with ecologically valid and timely assessments of a person's psychological state. This, in turn, opens…

Human-Computer Interaction · Computer Science 2015-08-18 Veljko Pejovic , Neal Lathia , Cecilia Mascolo , Mirco Musolesi

Social media data has become a vital resource for studying mental health, offering real-time insights into thoughts, emotions, and behaviors that traditional methods often miss. Progress in this area has been facilitated by benchmark…

Computation and Language · Computer Science 2025-11-27 Saad Mankarious , Ayah Zirikly , Daniel Wiechmann , Elma Kerz , Edward Kempa , Yu Qiao

Epilepsy is a neurological disease characterized by recurrent and spontaneous seizures. It affects approximately 50 million people worldwide. In majority of the cases accurate diagnosis of the disease can be made without using any…

Quantitative Methods · Quantitative Biology 2013-04-05 Roxana A. Stephanescu , R. G. Shivakeshavan , Sachin S. Talathi

Global rates of mental health concerns are rising, and there is increasing realization that existing models of mental health care will not adequately expand to meet the demand. With the emergence of large language models (LLMs) has come…

Computation and Language · Computer Science 2024-08-02 Hannah R. Lawrence , Renee A. Schneider , Susan B. Rubin , Maja J. Mataric , Daniel J. McDuff , Megan Jones Bell

College students experience many stressors, resulting in high levels of anxiety and depression. Wearable technology provides unobtrusive sensor data that can be used for the early detection of mental illness. However, current research is…

Machine Learning · Computer Science 2026-01-26 Rebecca Lopez , Avantika Shrestha , ML Tlachac , Kevin Hickey , Xingtong Guo , Shichao Liu , Elke Rundensteiner

Quality patient-provider communication is critical to improve clinical care and patient outcomes. While progress has been made with communication skills training for clinicians, significant gaps exist in how to best monitor, measure, and…

Human-Computer Interaction · Computer Science 2024-07-12 Zhiyuan Wang , Nusayer Hassan , Virginia LeBaron , Tabor E. Flickinger , David Ling , James Edwards , Congyu Wu , Mehdi Boukhechba , Laura E. Barnes

Recurrent major mood episodes and subsyndromal mood instability cause substantial disability in patients with bipolar disorder. Early identification of mood episodes enabling timely mood stabilisation is an important clinical goal. Recent…

Machine Learning · Statistics 2017-08-04 Andrey Kormilitzin , Kate E. A. Saunders , Paul J. Harrison , John R. Geddes , Terry Lyons

Mental stress is a prevalent condition that can have negative impacts on one's health. Early detection and treatment are crucial for preventing related illnesses and maintaining overall wellness. This study presents a new method for…

Signal Processing · Electrical Eng. & Systems 2024-05-15 Hika Barki , Wan-Young Chung

Detecting personal health mentions on social media is essential to complement existing health surveillance systems. However, annotating data for detecting health mentions at a large scale is a challenging task. This research employs a…

Computation and Language · Computer Science 2022-12-13 Olanrewaju Tahir Aduragba , Jialin Yu , Alexandra I. Cristea
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