Applications of artificial intelligence− machine learning for detection of stress: a critical overview

AFA Mentis, D Lee, P Roussos - Molecular Psychiatry, 2023 - nature.com
Psychological distress is a major contributor to human physiology and pathophysiology, and
it has been linked to several conditions, such as auto-immune diseases, metabolic …

[HTML][HTML] An extensive study on Internet of Behavior (IoB) enabled Healthcare-Systems: Features, facilitators, and challenges

M Javaid, A Haleem, RP Singh, S Khan… - BenchCouncil …, 2022 - Elsevier
Abstract The Internet of Behaviour (IoB) is an effort to dissect behavioural patterns as
explained by data collection. IoB is an extension of the Internet of Things (IoT). Therefore …

Forecasting the patterns of COVID-19 and causal impacts of lockdown in top five affected countries using Bayesian Structural Time Series Models

N Feroze - Chaos, solitons & fractals, 2020 - Elsevier
Background There are numerous studies dealing with analysis for the future patterns of
COVID-19 in different countries using conventional time series models. This study aims to …

Forecasting the trends of covid-19 and causal impact of vaccines using bayesian structural time series and arima

M Navas Thorakkattle, S Farhin, AA Khan - Annals of Data Science, 2022 - Springer
Several researchers have used standard time series models to analyze future patterns of
COVID-19 and the Causal impact of vaccinations in various countries. Bayesian structural …

Human activity recognition from multiple sensors data using deep CNNs

Y Kaya, EK Topuz - Multimedia Tools and Applications, 2024 - Springer
Smart devices with sensors now enable continuous measurement of activities of daily living.
Accordingly, various human activity recognition (HAR) experiments have been carried out …

Urges to move and other motivation states for physical activity in clinical and healthy populations: a scoping review protocol

MA Stults-Kolehmainen, M Blacutt… - Frontiers in …, 2022 - frontiersin.org
Motivation for bodily movement, physical activity and exercise varies from moment to
moment. These motivation states may be “affectively-charged,” ranging from instances of …

Health policy considerations for combining exercise prescription into noncommunicable diseases treatment: a narrative literature review

D Tao, R Awan-Scully, GI Ash, Y Gu, Z Pei… - Frontiers in Public …, 2023 - frontiersin.org
Objectives In this review, we aim to highlight the evidence base for the benefits of exercise in
relation to the treatment of noncommunicable diseases (NCDs), draw on the Health …

[HTML][HTML] The impact of EV71 vaccination program on hand, foot and mouth disease in Zhejiang Province, China: A negative control study

D Zheng, L Shen, W Wen, F Ling, Z Miao, J Sun… - Infectious Disease …, 2023 - Elsevier
Objective To estimate the potential causal impact of Enterovirus A71 (EV71) vaccination
program on the reduction of EV71-infected hand, foot, and mouth disease (HFMD) in …

Detecting smartwatch-based behavior change in response to a multi-domain brain health intervention

DJ Cook, M Strickland… - ACM Transactions on …, 2022 - dl.acm.org
In this study, we introduce and validate a computational method to detect lifestyle change
that occurs in response to a multi-domain healthy brain aging intervention. To detect …

Measurement of motivation states for physical activity and sedentary behavior: development and validation of the CRAVE scale

MA Stults-Kolehmainen, M Blacutt, N Fogelman… - Frontiers in …, 2021 - frontiersin.org
Physical activity, and likely the motivation for it, varies throughout the day. The aim of this
investigation was to create a short assessment (CRAVE: Cravings for Rest and Volitional …