Middleware architecture for patient care data transmission using wireless networks
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
Mobile healthcare is becoming a prominent leader in integration of information technology into real-time applications. Wireless communication technology provides the pre-eminent infrastructure for implementing mobile health care applications. Reliable and secure information sharing using a wireless communication environment is a key issue in health care scenarios. In this paper we propose an Agent-based Mobile Middleware Architecture (AMMA), an agent technology based message oriented middleware, which provides an intelligent solution to reliability, mobility and security issues. Agent technology is an appropriate middleware for mobile devices such as laptop, PDA and other handheld devices, due to its efficient resource management ability. A Transmission Control Protocol (TCP) based secure communication protocol is used. Middleware messaging based on medical data messaging standards, such as Health Level 7 (HL7) and Digital Image Communication (DICOM), is implemented. An electronic Patient Call Report (e-PCR) system, a mobile application tool for data capturing, was designed for Emergency Medical Services (EMS) and tested using CDMA-1xrtt network. The results are discussed.
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 | 0.002 | 0.001 |
| 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