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Record W1997619513 · doi:10.1109/bibm.2013.6732561

Towards a formal representation of clinical practice guidelines for the treatment of comorbid patients

2013· article· en· W1997619513 on OpenAlex
Xing Tan

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBusiness Process Modeling and Analysis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsComputer scienceConcurrencyPetri netFormal methodsOntologyKnowledge representation and reasoningScope (computer science)Formal ontologyRepresentation (politics)Artificial intelligenceTheoretical computer scienceProgramming languageSoftware engineeringConceptualizationProcess ontologyEpistemology

Abstract

fetched live from OpenAlex

Clinical Practice Guidelines (CPGs) are standardized guidelines in prescribing the most appropriate medical treatment to patients with regard to relevant patient data and possible diagnoses. However due to the complexity it involves, concurrent applications of CPGs for the treatment of comorbid patients is quite limited in practice and accordingly the availability of foundational frameworks that supports formal CPG representation and reasoning is essential. In this paper, we propose adopting SCOPE (Situation Calculus Ontology of PEtri Nets), a formal framework that is based on Petri Nets and the Situation Calculus, for the CPG mitigation and integration. In particular, we argue that critical attributes such as iterations, concurrency, time and etc. that are needed to fully describe knowledge for the mitigation/integration of CPGs can be conveniently captured within this framework. An illustrative mitigation example is also given.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.949
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.177
GPT teacher head0.423
Teacher spread0.246 · 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

Quick stats

Citations4
Published2013
Admission routes1
Has abstractyes

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