Works matching AU Bazmi, Sina
Results: 10
The association between insulin resistance and QT interval: A systematic review and Meta-Analysis.
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- BMC Cardiovascular Disorders, 2025, v. 25, n. 1, p. 1, doi. 10.1186/s12872-025-04593-z
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- Article
Methanol poisoning during the COVID‐19 pandemic in Iran: A retrospective cross‐sectional study of clinical, laboratory, and brain imaging characteristics and outcomes.
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- Health Science Reports, 2023, v. 6, n. 12, p. 1, doi. 10.1002/hsr2.1752
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- Article
Exploring the application of dietary antioxidant index for disease risk assessment: a comprehensive review.
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- Frontiers in Nutrition, 2025, p. 1, doi. 10.3389/fnut.2024.1497364
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- Article
Androgenic alopecia is associated with higher dietary inflammatory index and lower antioxidant index scores.
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- Frontiers in Nutrition, 2024, p. 1, doi. 10.3389/fnut.2024.1433962
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- Article
Machine learning-based models to predict the conversion of normal blood pressure to hypertension within 5-year follow-up.
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- PLoS ONE, 2024, v. 19, n. 3, p. 1, doi. 10.1371/journal.pone.0300201
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- Article
The impact of flaxseed oil on lipid profiles, weight loss, and inflammatory markers in hemodialysis patients: A systematic review and meta‐analysis of randomized controlled trials.
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- Therapeutic Apheresis & Dialysis, 2024, v. 28, n. 4, p. 534, doi. 10.1111/1744-9987.14140
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- Article
Developing practical machine learning survival models to identify high-risk patients for in-hospital mortality following traumatic brain injury.
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- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-025-89574-0
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- Article
Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients.
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- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-025-89570-4
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- Article
The prevalence of antiretroviral drug interactions with other drugs used in women living with HIV and its association with HIV drug change and patient compliance.
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- BMC Infectious Diseases, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12879-024-09958-x
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- Article
Predicting symptomatic kidney stones using machine learning algorithms: insights from the Fasa adults cohort study (FACS).
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- BMC Research Notes, 2024, v. 17, n. 1, p. 1, doi. 10.1186/s13104-024-06979-2
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- Article