Ongoing phase 2/3 trials of psychotropic drugs: is help finally on the way?
Sign Up to like & getrecommendations! Published in 2023 at "World Psychiatry"
DOI: 10.1002/wps.21064
Abstract: World Psychiatry 22:1 February 2023 machine learning, but it should be noted that, although this technique may fit the specific population from which the data were obtained, the generalizability of findings may not always be… read more here.
Keywords: way; methodology; face; care ... See more keywords
Digital Phenotypes of Instability and Fatigue Derived From Daily Standing Transitions in Persons With Multiple Sclerosis
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2023.3271601
Abstract: Impairment in persons with multiple sclerosis (PwMS) can often be attributed to symptoms of motor instability and fatigue. Symptom monitoring and queued interventions often target these symptoms. Clinical metrics are currently limited to objective physician… read more here.
Keywords: instability fatigue; instability; persons multiple; digital phenotypes ... See more keywords
Prediction of impending mood episode recurrence using real-time digital phenotypes in major depression and bipolar disorders in South Korea: a prospective nationwide cohort study.
Sign Up to like & getrecommendations! Published in 2022 at "Psychological medicine"
DOI: 10.2139/ssrn.4045955
Abstract: BACKGROUND Mood disorders require consistent management of symptoms to prevent recurrences of mood episodes. Circadian rhythm (CR) disruption is a key symptom of mood disorders to be proactively managed to prevent mood episode recurrences. This… read more here.
Keywords: impending mood; mood episode; mood episodes; mood ... See more keywords
Machine Learning Analysis to Identify Digital Behavioral Phenotypes for Engagement and Health Outcome Efficacy of an mHealth Intervention for Obesity: Randomized Controlled Trial
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DOI: 10.2196/27218
Abstract: Background The digital health care community has been urged to enhance engagement and clinical outcomes by analyzing multidimensional digital phenotypes. Objective This study aims to use a machine learning approach to investigate the performance of… read more here.
Keywords: digital phenotypes; machine; intervention; machine learning ... See more keywords
The Aim2Be mHealth Intervention for Children With Overweight or Obesity and Their Parents: Person-Centered Analyses to Uncover Digital Phenotypes
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DOI: 10.2196/35285
Abstract: Background Despite the growing number of mobile health (mHealth) interventions targeting childhood obesity, few studies have characterized user typologies derived from individuals’ patterns of interactions with specific app features (digital phenotypes). Objective This study aims… read more here.
Keywords: fully engaged; mhealth; partially engaged; engaged 214 ... See more keywords
Smartwatch digital phenotypes predict positive and negative symptom variation in a longitudinal monitoring study of patients with psychotic disorders
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Psychiatry"
DOI: 10.3389/fpsyt.2023.1024965
Abstract: Introduction Monitoring biometric data using smartwatches (digital phenotypes) provides a novel approach for quantifying behavior in patients with psychiatric disorders. We tested whether such digital phenotypes predict changes in psychopathology of patients with psychotic disorders.… read more here.
Keywords: psychopathology; phenotypes predict; psychotic disorders; positive negative ... See more keywords