Artificial Intelligence for Mobile Health Data Analysis and Processing.
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Artificial intelligence and machine learning in mobile apps for mental health: A scoping review
Milne-Ives, M., Selby, E., Inkster, B., Lam, C., & Meinert, E. (2022) · PLOS Digital Health · doi:10.1371/journal.pdig.0000079 · Cited by 68 · see citing works
- Authors
- Sannino, G., Bouguila, N., De Pietro, G., & Celesti, A.
- Affiliations
- National Research Council (IT)
- Concordia University (CA)
- National Research Council of Italy (CNR), Naples, Italy
- University of Messina (IT)
- Corresponding author
- Sannino, Giovanna
- Venue
- Mobile Information Systems
- Publisher
- Wiley
- Published
- 2019-01-22
- Volume
- 2019
- Pages
- 1-2
- ISSN
- 1574-017X (ISSN-L)
- 1875-905X
- OpenAlex
- W2911936988
- Cited by
- 16
- References
- 0
- Citations by year
- 2025: 1 · 2023: 2 · 2022: 3 · 2021: 4 · 2020: 5 · 2019: 1
- FWCI
- 3.44
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Mobile Information Systems (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- INFM-OAR (INFN Catania) (submittedVersion, cc-by)
- Topics
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- artificial intelligence, mobile health, medical data analysis, medical data processing
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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