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Record W6912185841 · doi:10.5281/zenodo.2537147

COMPARING CARDIAC REHABILITATION GUIDELINES

2019· article· en· W6912185841 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsnot available
Fundersnot available
KeywordsGuidelineRehabilitationAerobic exerciseTest (biology)Quality of life (healthcare)MEDLINE

Abstract

fetched live from OpenAlex

Objectives: Comparing Cardiac Rehabilitation Guidelines. Method: guidelines were searched alone and with combination with different nations in English language. To review information about the exercises modes, exercise intensity, testing, and monitoring of patients. Results: the United States, Canadian, United Kingdome, and European guidelines all have common components and have differences in the exercises modes and intensity. The United States, Canada, and European guideline suggest aerobic training should progressing from moderate to vigorous intensity through the program, these guidelines also suggest resistance training combined with the aerobic training to improve quality of life. The United Kingdome recommends lower intensity program and less ECG monitoring. Although the other guidelines recommend ECG exercises stress test for functional capacity assessment. Conclusion: guideline for the Mediterranean region should be assembled and after reviewing these guidelines, it is recommended to use ECG monitoring for functional assessment. Managing the risk factors is recommended in all the guidelines. Aerobic endurance training is recommended to advance from moderate to high intensity exercises combined with resistance training. These characteristics are safe for the patients and also showed improvements in patient’s health and quality of life.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.031
metaresearch head score (Gemma)0.196
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.031
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.196
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0160.015
Science and technology studies0.0010.000
Scholarly communication0.0030.004
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0160.002

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.

Opus teacher head0.038
GPT teacher head0.281
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicCardiovascular Effects of ExerciseFrench-language works237,207