Research on the Construction of Precision Medical System Under the Background of Big Data-The Roles and Responsibilities of Government, Hospitals and Medical Workers
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
This article explores the roles and responsibilities of government, hospital and medical workers in the construction of precision medical system under the background of big data, which provide reference advices for setting out big data-related policies by the government, promoting the applications of big data technology in the medical field by the hospital, and using big data technology to help improve the efficiency of clinical diagnosis and treatment or make precise medical practice by medical workers. The main research contents are followed. It presents some problems and countermeasures in setting out big data-related policies by the government. This article studies the work tips of hospitals, as the main body of the implementation of the responsibility and obligation, and how to use big data technology in application. Meanwhile, it tries to analyze the problems and difficulties which hospitals and medical workers need to pay attention to applying big data technology in precision medicine.
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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 | 0.009 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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