Artigos com autorizações de acesso público - Sohrab SaebSaiba mais
9 artigos disponíveis publicamente
Mobile phone sensor correlates of depressive symptom severity in daily-life behavior: an exploratory study
S Saeb, M Zhang, CJ Karr, SM Schueller, ME Corden, KP Kording, ...
Journal of medical Internet research 17 (7), e4273, 2015
Autorizações: US National Institutes of Health
The relationship between mobile phone location sensor data and depressive symptom severity
S Saeb, EG Lattie, SM Schueller, KP Kording, DC Mohr
PeerJ 4, e2537, 2016
Autorizações: US National Institutes of Health
The need to approximate the use-case in clinical machine learning
S Saeb, L Lonini, A Jayaraman, DC Mohr, KP Kording
Gigascience 6 (5), gix019, 2017
Autorizações: US National Institutes of Health
Relationship between sleep quality and mood: ecological momentary assessment study
S Triantafillou, S Saeb, EG Lattie, DC Mohr, KP Kording
JMIR mental health 6 (3), e12613, 2019
Autorizações: US National Institutes of Health
Mobile phone detection of semantic location and its relationship to depression and anxiety
S Saeb, EG Lattie, KP Kording, DC Mohr
JMIR mHealth and uHealth 5 (8), e7297, 2017
Autorizações: US National Institutes of Health
The Relationship between Clinical, Momentary, and Sensor-based Assessment of Depression
S Saeb, M Zhang, MM Kwasny, CJ Karr, K Kording, DC Mohr
Pervasive Health, 2015
Autorizações: US National Institutes of Health
Scalable Passive Sleep Monitoring Using Mobile Phones: Opportunities and Obstacles
S Saeb, TR Cybulski, SM Schueller, KP Kording, DC Mohr
Journal of Medical Internet Research 19 (4), e143, 2017
Autorizações: US National Institutes of Health
Voodoo machine learning for clinical predictions
S Saeb, L Lonini, A Jayaraman, DC Mohr, KP Kording
Biorxiv, 059774, 2016
Autorizações: US National Institutes of Health
Making activity recognition robust against deceptive behavior
S Saeb, K Körding, DC Mohr
PloS one 10 (12), e0144795, 2015
Autorizações: US National Institutes of Health
As informações de publicação e financiamento são determinadas automaticamente por um programa de computador