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Record W4394720057 · doi:10.5376/ijccr.2024.14.0003

Analysis of the Basic Principles and Methods of Integrated Traditional Chinese and Western Medicine

2024· article· en· W4394720057 on OpenAlexvenueno aff
Zhuoling Cai

Bibliographic record

VenueInternational Journal of Clinical Case Reports · 2024
Typearticle
Languageen
FieldMedicine
TopicMedical Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsWestern medicineEngineering ethicsManagement scienceTraditional Chinese medicineTraditional medicineComputer scienceMedicineAlternative medicineEngineeringPathology

Abstract

fetched live from OpenAlex

Integrated traditional Chinese and Western medicine is an interdisciplinary field of Chinese and Western medicine, and it is also a work policy of Chinese medical and health industry. Integrated traditional Chinese and Western medicine originated from clinical practice and gradually evolved into an academic system with clear development goals and unique methodology. Integrated traditional Chinese and Western medicine is of great significance in today's medical care, utilizing the advantages of both traditional Chinese and Western medicine to provide more comprehensive and personalized medical services. Traditional Chinese medicine emphasizes a holistic approach and dialectical treatment, while Western medicine focuses mainly on scientific methods and drug treatment. Integrated traditional Chinese and Western medicine can comprehensively apply these two methods to diagnose and treat diseases more accurately and improve treatment effectiveness. This review aims to explore the basic principles and methods of integrated traditional Chinese and Western medicine, combined with relevant diagnosis and treatment cases, in order to provide direction for the development of integrated Chinese and Western medicine.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0010.004
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.190
GPT teacher head0.556
Teacher spread0.367 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations1
Published2024
Admission routes1
Has abstractyes

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