Výsledky vyhledávání - "Vega, J. (Julio)"

Me in the wild:an exploratory study using smartphones to detect the onset of depression

Autor: Opoku Asare, K. (Kennedy), Visuri, A. (Aku), Vega, J. (Julio), Ferreira, D. (Denzil)

Research on mobile sensing for mental health monitoring has traditionally explored the correlation between smartphone and wearable data with self-reported mental health symptom severity assessments. The effectiveness of predictive techniques to monit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2423::ae6688f969e7c24d3409fe7b7c62fc81
http://urn.fi/urn:nbn:fi-fe2022092159802

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Digital biomarkers of symptom burden self-reported by perioperative patients undergoing pancreatic surgery:prospective longitudinal study

Autor: Low, C. A. (Carissa A.), Li, M. (Meng), Vega, J. (Julio), Durica, K. C. (Krina C.), Ferreira, D. (Denzil), Tam, V. (Vernissia), Hogg, M. (Melissa), Zeh III, H. (Herbert), Doryab, A. (Afsaneh), Dey, A. K. (Anind K.)

Background: Cancer treatments can cause a variety of symptoms that impair quality of life and functioning but are frequently missed by clinicians. Smartphone and wearable sensors may capture behavioral and physiological changes indicative of symptom

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2423::6e9acf2fa6eb4a5ca7da4e1fdc99ef54
http://urn.fi/urn:nbn:fi-fe2021062840158

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Predicting depression from smartphone behavioral markers using machine learning methods, hyperparameter optimization, and feature importance analysis:exploratory study

Autor: Opoku Asare, K. (Kennedy), Terhorst, Y. (Yannik), Vega, J. (Julio), Peltonen, E. (Ella), Lagerspetz, E. (Eemil), Ferreira, D. (Denzil)

Background: Depression is a prevalent mental health challenge. Current depression assessment methods using self-reported and clinician-administered questionnaires have limitations. Instrumenting smartphones to passively and continuously collect momen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2423::c0b4d77061e80a742876aeb9ca17a360
http://urn.fi/urn:nbn:fi-fe2021092146687

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Smartphone-based monitoring of Parkinson disease:quasi-experimental study to quantify hand tremor severity and medication effectiveness

Autor: Kuosmanen, E. (Elina), Wolling, F. (Florian), Vega, J. (Julio), Kan, V. (Valerii), Nishiyama, Y. (Yuuki), Harper, S. (Simon), Van Laerhoven, K. (Kristof), Hosio, S. (Simo), Ferreira, D. (Denzil)

Background: Hand tremor typically has a negative impact on a person’s ability to complete many common daily activities. Previous research has investigated how to quantify hand tremor with smartphones and wearable sensors, mainly under controlled da

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2423::f897e5335760243fb4bae175a3cf10e1
http://urn.fi/urn:nbn:fi-fe2020120899777

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Challenges of Parkinson’s disease:user experiences with STOP

Autor: Kuosmanen, E. (Elina), Kan, V. (Valerii), Vega, J. (Julio), Visuri, A. (Aku), Nishiyama, Y. (Yuuki), Dey, A. K. (Anind K.), Harper, S. (Simon), Ferreira, D. (Denzil)

Parkinson’s disease (PD) is the second most common neurodegenerative disorder, impacting an estimated seven to ten million people worldwide. Measuring the symptoms and progress of the disease, and medication effectiveness is currently performed usi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2423::278316e1d682722810ad1601f8112307
http://urn.fi/urn:nbn:fi-fe2019100932053

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