User profiles for Sohrab Saeb
Sohrab SaebData Scientist, Verily Life Sciences Verified email at google.com Cited by 1966 |
[PDF][PDF] Using and understanding cross-validation strategies. Perspectives on Saeb et al.
This three-part review takes a detailed look at the complexities of cross-validation, fostered
by the peer review of Saeb et al.’s paper entitled “The need to approximate the use-case in …
by the peer review of Saeb et al.’s paper entitled “The need to approximate the use-case in …
[HTML][HTML] Mobile phone sensor correlates of depressive symptom severity in daily-life behavior: an exploratory study
Background: Depression is a common, burdensome, often recurring mental health disorder
that frequently goes undetected and untreated. Mobile phones are ubiquitous and have an …
that frequently goes undetected and untreated. Mobile phones are ubiquitous and have an …
[HTML][HTML] The relationship between mobile phone location sensor data and depressive symptom severity
Background Smartphones offer the hope that depression can be detected using passively
collected data from the phone sensors. The aim of this study was to replicate and extend …
collected data from the phone sensors. The aim of this study was to replicate and extend …
The need to approximate the use-case in clinical machine learning
The availability of smartphone and wearable sensor technology is leading to a rapid
accumulation of human subject data, and machine learning is emerging as a technique to map …
accumulation of human subject data, and machine learning is emerging as a technique to map …
[HTML][HTML] Relationship between sleep quality and mood: ecological momentary assessment study
Background: Sleep disturbances play an important role in everyday affect and vice versa.
However, the causal day-to-day interaction between sleep and mood has not been thoroughly …
However, the causal day-to-day interaction between sleep and mood has not been thoroughly …
[HTML][HTML] Mobile phone detection of semantic location and its relationship to depression and anxiety
Background: Is someone at home, at their friend’s place, at a restaurant, or enjoying the
outdoors? Knowing the semantic location of an individual matters for delivering medical …
outdoors? Knowing the semantic location of an individual matters for delivering medical …
The relationship between clinical, momentary, and sensor-based assessment of depression
The clinical assessment of severity of depressive symptoms is commonly performed with
standardized self-report questionnaires, most notably the patient health questionnaire (PHQ-9), …
standardized self-report questionnaires, most notably the patient health questionnaire (PHQ-9), …
Voodoo machine learning for clinical predictions
The availability of smartphone and wearable sensor technology is leading to a rapid accumulation
of human subject data, and machine learning is emerging as a technique to map that …
of human subject data, and machine learning is emerging as a technique to map that …
[HTML][HTML] Scalable passive sleep monitoring using mobile phones: opportunities and obstacles
Background Sleep is a critical aspect of people’s well-being and as such assessing sleep is
an important indicator of a person’s health. Traditional methods of sleep assessment are …
an important indicator of a person’s health. Traditional methods of sleep assessment are …
[HTML][HTML] A holistic approach for suppression of COVID-19 spread in workplaces and universities
As society has moved past the initial phase of the COVID-19 crisis that relied on broad-spectrum
shutdowns as a stopgap method, industries and institutions have faced the daunting …
shutdowns as a stopgap method, industries and institutions have faced the daunting …