Internet of Things in Telemedicine: a Discussion Regarding to Several Implementation
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
With the increase of health requirement, the idea of telemedicine turns in to reality. By the help of effective audiovisual and data communication, the process of practice of medical care that includes the delivery of medical care, consultation and treatment, diagnosis, transferring of medical data as well as health education is termed as Telemedicine [1]. Most of the actual implementation of telemedicine system is done by traditional video conference tool, which is somehow becomes not very supportive as far as the complex medical activities are concerned. So this paper discusses the effects of different implementation regarding to telemedicine by the internet of things. There are many ways of telemedicine which are implementing according to the available sources of Internet of things (IoT), the idea of this paper is to highlight those ways and discusses that how much these available procedures are useful for the remote areas. Comparison will be done as a conclusion of this paper
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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