The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Opportunities and challenges in the collection and analysis of digital phenotyping data
Open accessAbstract
The broad adoption and use of smartphones has led to fundamentally new opportunities for capturing social, behavioral, and cognitive phenotypes in free-living settings, outside of research laboratories and clinics. Predicated on the use of existing personal devices rather than the introduction of additional instrumentation, smartphone-based digital phenotyping presents us with several opportunities and challenges in data collection and data analysis. These two aspects are strongly coupled, because decisions about what data to collect and how to collect it constrain what statistical analyses can be carried out, now and years later, and therefore ultimately determine what scientific, clinical, and public health questions may be asked and answered. Digital phenotyping combines the excitement of fast-paced technologies, smartphones, cloud computing and machine learning, with deep mathematical and statistical questions, and it does this in the service of a better understanding our own behavior in ways that are objective, scalable, and reproducible. We will discuss some fundamental aspects of collection and analysis of digital phenotyping data, which takes us on a brief tour of several important scientific and technological concepts, from the open-source paradigm to computational complexity, with some unexpected insights provided by fields as varied as zoology and quantum mechanics.
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Cites
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“There are reviews on ESM/EMA studies on major depressive disorder [47], psychotic disorders [48], substance use disorders [49], anxiety disorders [50], and eating disorders [51].”
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“We call this fi eld of research digital phenotyping [2, 3], which we have previously de fi ned as the “ moment-by-moment quanti fi cation of the individual-level human phenotype in situ using data from personal digital devices, in particular smartphones.”
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Cited by
Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank
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Metadata
- Authors
- Onnela, J.-P.
- Venue
- Neuropsychopharmacology
- Published
- 2020-07-17
- Volume
- 46
- Issue
- 1
- Pages
- 45-54
- ISSN
- 0893-133X (ISSN-L)
- 1740-634X
- OpenAlex
- W3043096756
- Cited by
- 319
- References
- 40
- FWCI
- 35.62
- Type
- journal article
- Language
- en
- Open access
- hybrid
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