Bluetooth-enabled in-home patient monitoring system: Early detection of Alzheimer's disease
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.
Bibliographic record
Abstract
As the baby boom generation is aging, more and more people are diagnosed with Alzheimer's disease, early detection of which is shown to be vital and necessary for better medical treatments and prolonging life expectancies. In this article we propose a Bluetooth-enabled in-home patient monitoring system, facilitating early detection of Alzheimer's disease. We take advantage of shortrange Bluetooth communications for in-home patient location tracking, and the location information can then be recorded in a local database. With knowledge of the movement pattern of a patient, a medical practitioner is more likely to be able to determine whether a target patient is developing Alzheimer's disease. We also conduct a feasibility study, and our study shows that the proposed in-home patient monitoring system is feasible and can be applied in practice. Our proposed e-healthcare solution is expected to facilitate medical treatments, improve the quality of life of senior people, and reduce healthcare costs.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it