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Updated: Sep 10, 2025

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通过预测建模,精细调整的CatBoost机器学习方法用于早期发现心血管疾病

Muhammad Hamid1, Fahima Hajjej2, Ala Saleh Alluhaidan3

  • 1Department of Computer Science, Government College Women University Sialkot, Sialkot, 51310, Pakistan.

Scientific reports
|August 25, 2025
PubMed
概括

一个新的CatBoost机器学习模型使用医院数据准确预测心血管疾病 (CVD) 阶段. 这种先进的方法可达到99%的准确性, 有助于早期诊断和改善患者的治疗结果.

关键词:
心血管疾病预防疾病功能选择预测模型生活质量风险评估

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Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
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