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Record W2955931876 · doi:10.1080/17538157.2019.1624968

Interconnected living in a quarter for persons with dementia

2019· article· en· W2955931876 on OpenAlexaboutno aff
Alexander Gerka, Marco Eichelberg, Christian Stolle, C. Tietjen-Müller, Stefanie Brinkmann-Gerdes, Andreas Hein

Bibliographic record

VenueInformatics for Health and Social Care · 2019
Typearticle
Languageen
FieldComputer Science
TopicContext-Aware Activity Recognition Systems
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)DementiaPsychological interventionWork (physics)Activities of daily livingGerontologyPerceptionMedicineAssisted livingPsychologyNursingPsychiatryDiseaseEngineeringGeography

Abstract

fetched live from OpenAlex

OBJECTIVE: In this work, we propose a new care concept for dementia patients in their own apartments: interconnected living in a quarter. We describe a technical setup that is comprised of a safety system and an activity detection system. The latter detects, processes and illustrates activities of daily living to help the quarter managers to provide appropriate interventions for persons with dementia in the quarter. PARTICIPANTS: The nine-month field study reported in this work was conducted in two quarters with eight participants. METHODS: We evaluated different possibilities to determine activity indicators with the aim of providing information that enables the quarter managers to offer exactly the level of support needed by each individual patient. To evaluate the usefulness and the perception of the technical infrastructure, qualitative interviews with the dementia patients and the quarter managers were conducted. RESULTS: The results indicate that the interconnected living concept helps to increase the safety of the dementia patients. Additionally, several activity indicators that help the quarter managers to offer the appropriate level of support to the dementia patients have been identified. CONCLUSION: The presented concept, which has been evaluated in a real-world-setting, constitutes a new holistic and cross-disciplinary dementia care approach.

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.

How this classification was reachedexpand

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.355
Threshold uncertainty score0.311

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.018
GPT teacher head0.281
Teacher spread0.263 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2019
Admission routes1
Has abstractyes

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