Articles with "questionnaire data" as a keyword



Photo from wikipedia

Powerful and Efficient Strategies for Genetic Association Testing of Symptom and Questionnaire Data in Psychiatric Genetic Studies

Sign Up to like & get
recommendations!
Published in 2019 at "Scientific Reports"

DOI: 10.1038/s41598-019-44046-0

Abstract: Genetic studies of psychiatric disorders often deal with phenotypes that are not directly measurable. Instead, researchers rely on multivariate symptom data from questionnaires and surveys like the PTSD Symptom Scale (PSS) and Beck Depression Inventory… read more here.

Keywords: association testing; genetic association; questionnaire data; symptom ... See more keywords
Photo by bruno_nascimento from unsplash

Transformation of Electronic Health Records and Questionnaire Data to OMOP CDM: A Feasibility Study Using SG_T2DM Dataset

Sign Up to like & get
recommendations!
Published in 2021 at "Applied Clinical Informatics"

DOI: 10.1055/s-0041-1732301

Abstract: Background  Diabetes mellitus (DM) is an important public health concern in Singapore and places a massive burden on health care spending. Tackling chronic diseases such as DM requires innovative strategies to integrate patients' data from… read more here.

Keywords: questionnaire data; omop cdm; electronic health; cdm ... See more keywords
Photo from wikipedia

A Strategy to Inform Athlete Sleep Support From Questionnaire Data and Its Application in an Elite Athlete Cohort.

Sign Up to like & get
recommendations!
Published in 2022 at "International journal of sports physiology and performance"

DOI: 10.1123/ijspp.2021-0561

Abstract: PURPOSE Information from the Pittsburgh Sleep Quality Index (PSQI) and Athlete Sleep Behavior Questionnaire (ASBQ) provide the ability to identify the sleep disturbances experienced by athletes and their associated athlete-specific challenges that cause these disturbances.… read more here.

Keywords: athlete sleep; inform athlete; questionnaire data; sleep support ... See more keywords
Photo by lukechesser from unsplash

Processing incomplete questionnaire data into continuous digital biomarkers for addiction monitoring

Sign Up to like & get
recommendations!
Published in 2022 at "PLoS ONE"

DOI: 10.1371/journal.pone.0271465

Abstract: Purpose eHealth systems allow efficient daily smartphone-based collection of self-reported data on mood, wellbeing, routines, and motivation; however, missing data is frequent. Within addictive disorders, missing data may reflect lack of motivation to stay sober.… read more here.

Keywords: information; missing data; digital biomarkers; data continuous ... See more keywords