Risk factors of ishemic stroke and their interconnection
Bibliographic record
Abstract
1. Thesis, тезисы In English: [Mishchenko, M.M., Shevchenko, A.S., Mishchenko, A.N. (2020) Risk factors of ishemic stroke and their interconnection. Dynamics of the development of world science: Abstracts of the 8th International scientific and practical conference (Vancouver, Canada, 2020, April 15-17). Publishing House “ACCENT” (ISBN 978-1-4879-3791-1). Pp. 124-129. https://doi.org/10.5281/zenodo.3755806] Cardiovascular disease is the leading cause of premature death. In turn, among cardiovascular diseases, the leader is ischemic stroke. The main risk factors for ischemic strokes (behavioral, physiological, genetic, environmental) act synergistically and are pathogenetically interconnected. Keywords: cardiovascular diseases, ischemic stroke, risk factors, age factor, hypodynamia, hypercholesterolemia, hyperglycemia, diabetes, obesity, overeating, salt, alcohol, tobacco smoking, arterial hypertension, atrial fibrillation, vascular atherosclerosis, environmental burden. На русском: [Мищенко, М.М., Шевченко, А.С., Мищенко, А.Н. (2020) Факторы риска ишемического инсульта и их взаимосвязь. Динамика развития современной науки: Тезисы докладов 8-й Международной научно-практической конференции (Ванкувер, Канада, 2020, 15-17 апреля). Издательский дом «АКЦЕНТ» (ISBN 978-1-4879-3791-1). C. 124-129. https://doi.org/10.5281/zenodo.3755806 (На английском)] Сердечно-сосудистые заболевания лидируют среди причин преждевременных смертей. В свою очередь среди сердечно-сосудистых заболеваний лидером является ишемический инсульт. Главные факторы риска ишемических инсультов (поведенческие, физиологические, генетические, экологические) действую синергетично и взаимосвязаны патогенетически. Ключевые слова: сердечно-сосудистые заболевания, ишемический инсульт, факторы риска, фактор возраста, гиподинамия, гиперхолестеринемия, гипергликемия, диабет, ожирение, переедание, поваренная соль, алкоголь, табакокурение, артериальная гипертензия, мерцательная аритмия, атеросклероз сосудов, экологическое бремя. 2. Collection of scientific articles In English: [Topical issues of the development of modern science. Abstracts of the 8th International scientific and practical conference (Sofia, Bulgaria, April 8-10, 2020). / ed. Komarytskyy M.L. Publishing House “ACCENT”, 2020, 999 p. (ISBN 978-1-4879-3791-1) https://doi.org/10.5281/zenodo.3755807]
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".