Best ECG leads for diagnosing acute myocardial infarction by multivariate analysis of body surface potential maps
Bibliographic record
Abstract
The authors compared 120-lead body surface potential map (BSPM) data from 131 patients with acute myocardial infarction (MI) and 159 normal control subjects (N). The MI population was stratified according to the location of ventricular wall motion abnormalities using technetium-99m-labeled blood pool imaging into 76 patients with anterior MI (AMI), 32 patients with inferior MI (IMI), and 23 patients with posterior MI (PMI). Stepwise discriminant analysis was performed for each pairwise comparison (AMI vs N, IMI vs. N, and PMI vs. N) using as measurements the ST magnitude in 120 electrode sites from each individual. Two leads from areas with the most abnormal ST changes achieved optimal classification in each MI class, and five of these six leads were outside the precordial electrode positions. In each bigroup classification, the first and best measurement corresponded to ST depression while the second represented ST elevation. Sensitivities at a specificity level of 95% were 82% for AMI, 93% for PMI, and 100% for IMI.>
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".