Cardiovascular remote monitoring system with Electronic Health Record
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
Cardiovascular disease is the leading cause for death in developed countries. Measuring and Tracking the heart parameters with less cost can benefits the public health directly. This paper proposes a cardiovascular remote monitoring system which collects data from ubiquitous computing device with ECG, Blood Pressure (BP), and Oximeter sensors. The monitoring device has USB connectivity which is widely used with Personal Computer and many other portable devices. It stores the data at local and sends a copy to data processing center for analysis. The communicating message follows HL7 Version 3 standard and can be used to exchange information among different Health Information Systems. Users can manage their own health information by visiting the website hosted at server side. The processing center includes a Decision Support System which analyzes cardiovascular data with related models. It also learns from doctor’s decisions for self wellness purpose. The whole system is portable, low cost, and easy to use.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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