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Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020).
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- Annals of Operations Research, 2024, v. 339, n. 3, p. 1077, doi. 10.1007/s10479-021-04006-2
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- Article
Risk factors prediction, clinical outcomes, and mortality in COVID‐19 patients.
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- Journal of Medical Virology, 2021, v. 93, n. 4, p. 2307, doi. 10.1002/jmv.26699
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- Article
Body composition predicts hypertension using machine learning methods: a cohort study.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-34127-6
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- Article
Prognosis prediction in traumatic brain injury patients using machine learning algorithms.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-28188-w
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- Article
Model uncertainty quantification for diagnosis of each main coronary artery stenosis.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2020, v. 24, n. 13, p. 10149, doi. 10.1007/s00500-019-04531-0
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- Article
Swarm Intelligence in Internet of Medical Things: A Review.
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- Sensors (14248220), 2023, v. 23, n. 3, p. 1466, doi. 10.3390/s23031466
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- Article
Factors associated with mortality in hospitalized cardiovascular disease patients infected with COVID‐19.
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- Immunity, Inflammation & Disease, 2022, v. 10, n. 3, p. 1, doi. 10.1002/iid3.561
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- Article
Hybrid genetic‐discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries.
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- Expert Systems, 2022, v. 39, n. 7, p. 1, doi. 10.1111/exsy.12573
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- Article