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Record W2883157124 · doi:10.3390/mti2030043

Technology for Remote Health Monitoring in an Older Population: A Role for Mobile Devices

2018· article· en· W2883157124 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMultimodal Technologies and Interaction · 2018
Typearticle
Languageen
FieldHealth Professions
TopicMobile Health and mHealth Applications
Canadian institutionsSheridan College
FundersOntario Centres of Excellence
KeywordsUsabilityHealth carePopulation ageingMobile technologyMobile devicePopulationBusinessInternet privacyGerontologyMedicineComputer scienceEnvironmental healthPolitical scienceWorld Wide WebHuman–computer interaction

Abstract

fetched live from OpenAlex

The impact of an aging population on healthcare and the sustainability of our healthcare system are pressing issues in contemporary society. Technology has the potential to address these challenges, alleviating pressures on the healthcare system and empowering individuals to have greater control over monitoring their own health. Importantly, mobile devices such as smartphones and tablets can allow older adults to have “on the go” access to health-related information. This paper explores mobile health apps that enable older adults and those who care for them to track health-related factors such as body readings and medication adherence, and it serves as a review of the literature on the usability and acceptance of mobile health apps in an older population.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.931
Threshold uncertainty score0.786

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.059
GPT teacher head0.477
Teacher spread0.418 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it