A dissemination-based mobile web application framework for juvenile ideopathic arthritis patients
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
Adopting mobile technologies in assisting healthcare is opening new possibilities in medical health domain through bringing a dramatic shift from conventional paper-based tracking to electronic tracking and evaluation system. Health information systems have the potential to offer greater improvement in collecting and accessing relevant information, disseminating data among health practitioners and patients in a reliable and secure manner with faster speed and analyzing them efficiently. In this paper we have proposed and implemented a prototypical client-server based health information framework that allows both clinicians and patients to send data to a centralized backend system database and have access to those data when needed. Our framework adopts mobile electronic pain diary named PInGO for juvenile idiopathic arthritis patients to report their health conditions to the clinicians. Our framework offers secure, reliable and fast dissemination and access of these data through leveraging the latest push-based Web technology and RESTful web services. From our preliminary experiment results it has been observed that data dissemination using RESTful web services within event-based publish-subscribe domain provides greater performance improvement comparing to traditional pull-based data dissemination over Web.
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 | 0.000 | 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 | 0.000 |
| 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