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Record W1969446931 · doi:10.1109/bhi.2014.6864404

Non-invasive calculation of non-linear ESPVR: Theoretical study and clinical applications

2014· article· en· W1969446931 on OpenAlex
Rachad M. Shoucri

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

VenueIEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · 2014
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsFormalism (music)Ejection fractionMathematicsHeart failure with preserved ejection fractionConsistency (knowledge bases)Applied mathematicsCardiologyAlgorithmHeart failureMedicineDiscrete mathematics

Abstract

fetched live from OpenAlex

Mathematical expressions for the pressure-volume relation (PVR) and the non-linear end-systolic pressure-volume relation (ESPVR) in the heart ventricles have been derived by using the theory of large elastic deformation of the myocardium. A rich collection of new parameters can be derived from the formalism describing the ESPVR, volume values can be measured in a non-invasive way and ratios of pressures can be calculated in a non-invasive way. Relations between the ejection fraction EF and the calculated new indexes give new insight into the problem of heart failure with preserved ejection fraction (HFpEF). Applications to clinical data published in the literature show the consistency of the mathematical formalism used.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.509
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.053
GPT teacher head0.397
Teacher spread0.344 · 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