Patient with signs and symptoms of myocardial infarction, presenting to a chiropractic office: a case report
Bibliographic record
Abstract
A 53-year-old female presented to a chiropractic office with signs and symptoms of heart attack (myocardial infarction). Although she was complaining of neck and upper back pain, the cause of her condition was due to an incident of acute myocardial infarction (MI). Other than anterior chest pain, patients with MI could experience pain over lower jaw and teeth, both arms, shoulders, neck, upper back and epigastrium. Recognizing the possible underlying cause of the patient's complaints, and directing them toward the appropriate venues of therapy is essential. Due to the fact that heart attacks are underestimated in women within a certain age group, their detection is also less frequent. To emphasize this fact, presentation, incidence, epidemiology, examination, laboratory findings, and risk factors for the myocardial infarction (MIs) are discussed in this paper.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".