Interconnected living in a quarter for persons with dementia
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".