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Introduction Schizophrenia is a severe mental disorder, and early diagnosis is key to improving outcomes. Its complexity makes predicting onset and progression challenging. EEG has emerged as a valuable tool for studying schizophrenia, with…

Signal Processing · Electrical Eng. & Systems 2024-10-29 Gideon Vos , Maryam Ebrahimpour , Liza van Eijk , Zoltan Sarnyai , Mostafa Rahimi Azghadi

Mobile health (mHealth) systems help researchers monitor and care for patients in real-world settings. Studies utilizing mHealth applications use Ecological Momentary Assessment (EMAs), passive sensing, and contextual features to develop…

Various psychological factors affect how individuals express emotions. Yet, when we collect data intended for use in building emotion recognition systems, we often try to do so by creating paradigms that are designed just with a focus on…

Machine Learning · Computer Science 2019-08-27 Mimansa Jaiswal , Zakaria Aldeneh , Emily Mower Provost

Dementia is characterized by a decline in memory and thinking that is significant enough to impair function in activities of daily living. Patients seen in dementia specialty clinics are highly heterogeneous with a variety of different…

Machine Learning · Computer Science 2026-02-06 Sayantan Kumar , Zachary Abrams , Suzanne Schindler , Nupur Ghoshal , Philip Payne

We present a data-driven algorithm to model and predict the socio-emotional impact of groups on observers. Psychological research finds that highly entitative i.e. cohesive and uniform groups induce threat and unease in observers. Our…

Graphics · Computer Science 2018-10-02 Aniket Bera , Tanmay Randhavane , Emily Kubin , Husam Shaik , Kurt Gray , Dinesh Manocha

We present an intelligent wearable system to monitor and predict mood states of elderly people during their daily life activities. Our system is composed of a wristband to record different physiological activities together with a mobile app…

Machine Learning · Computer Science 2026-03-13 Daniel Bautista-Salinas , Joaquín Roca González , Inmaculada Méndez , Oscar Martinez Mozos

Stress can be seen as a physiological response to everyday emotional, mental and physical challenges. A long-term exposure to stressful situations can have negative health consequences, such as increased risk of cardiovascular diseases and…

Machine Learning · Computer Science 2017-11-20 Aaqib Saeed , Stojan Trajanovski

This study explored how lifestyle, personal background, and family history contribute to the risk of developing Alcohol Use Disorder (AUD). Survey data from the All of Us Program was utilized to extract information on AUD status, lifestyle,…

Machine Learning · Computer Science 2024-10-25 Chenlan Wang , Gaojian Huang , Yue Luo

Dementia is an overall decline in memory and cognitive skills severe enough to reduce an elders ability to perform everyday activities. There is an increasing need for accessible technologies for cognitive training to slow down the…

Human-Computer Interaction · Computer Science 2025-05-20 Kwong Chiu Fung , Wai Ho Mow

Dormancy is a widespread adaptive strategy that enables populations to persist in fluctuating environments, yet how its benefits depend on the temporal structure of environmental variability remains unclear. We examine how dormancy…

Populations and Evolution · Quantitative Biology 2025-12-08 Jorge Hidalgo , Lorenzo Fant , Rafael Rubio de Casas , Miguel A. Muñoz

Posttraumatic Stress Disorder (PTSD) is a psychiatric condition affecting nearly a quarter of the United States war veterans who return from war zones. Treatment for PTSD typically consists of a combination of in-session therapy and…

Machine Learning · Computer Science 2022-10-12 Mahnoosh Sadeghi , Anthony D McDonald , Farzan Sasangohar

Continuous stress forecasting could potentially contribute to lifestyle interventions. This paper presents a novel, explainable, and individualized approach for stress prediction using physiological data from consumer-grade smartwatches. We…

Machine Learning · Computer Science 2026-02-24 Xueyi Wang , Claudine J. C. Lamoth , Elisabeth Wilhelm

Because stress is subjective and is expressed differently from one person to another, generic stress prediction models (i.e., models that predict the stress of any person) perform crudely. Only person-specific ones (i.e., models that…

Human-Computer Interaction · Computer Science 2020-01-01 Kizito Nkurikiyeyezu , Anna Yokokubo , Guillaume Lopez

This article introduces a modeling framework to characterize evacuee response to environmental stimuli during emergency egress. The model is developed in consistency with stress theory, which explains how an organism reacts to environmental…

Physics and Society · Physics 2025-12-23 Peng N. Wang , Xiaoda Wang , Peter B. Luh , Christian Wilkie , Timo Korhonen , Neal Olderman

The rapid global aging trend has led to an increase in dementia cases, including Alzheimer's disease, underscoring the urgent need for early and accurate diagnostic methods. Traditional diagnostic techniques, such as cognitive tests,…

Machine Learning · Computer Science 2024-09-06 Juan A. Berrios Moya

Several machine learning algorithms have been developed for the prediction of Alzheimer's disease and related dementia (ADRD) from spontaneous speech. However, none of these algorithms have been translated for the prediction of broader…

Air pollution is a common and serious problem nowadays and it cannot be ignored as it has harmful impacts on human health. To address this issue proactively, people should be aware of their surroundings, which means the environment where…

Machine Learning · Computer Science 2024-04-16 Kamaljeet Kaur Sidhu , Habeeb Balogun , Kazeem Oluwakemi Oseni

Stress has become a fact in people's lives. It has a significant effect on the function of body systems and many key systems of the body including respiratory, cardiovascular, and even reproductive systems are impacted by stress. It can be…

Machine Learning · Computer Science 2024-10-11 Yasin Hasanpoor , Koorosh Motaman , Bahram Tarvirdizadeh , Khalil Alipour , Mohammad Ghamari

Psychological distress is a significant and growing issue in society. Automatic detection, assessment, and analysis of such distress is an active area of research. Compared to modalities such as face, head, and vocal, research investigating…

Computer Vision and Pattern Recognition · Computer Science 2020-08-03 Weizhe Lin , Indigo Orton , Qingbiao Li , Gabriela Pavarini , Marwa Mahmoud

This proposal is motivated by an analysis of the English Longitudinal Study of Ageing (ELSA), which aims to investigate the role of loneliness in explaining the negative impact of hearing loss on dementia. The methodological challenges that…

Methodology · Statistics 2020-07-08 Tat-Thang Vo , Hilary Davies-Kershaw , Ruth Hackett , Stijn Vansteelandt
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