相关实验视频

Updated: Jul 17, 2025

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
05:15

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure

Published on: June 10, 2025

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机器学习算法的系统比较,以开发和验证预测模型,以预测中年和老年患有牙周炎的患者的心力衰竭风险 (NHANES 2009至2014)

Yicheng Wang1,2,3, Yuan Xiao1,2,3, Yan Zhang1,2,3

  • 1Affiliated Fuzhou First Hospital of Fujian Medical University, Department of Cardiovascular Medicine, Fuzhou, Fujian, China.

Medicine
|September 1, 2023
PubMed
概括

这项研究开发了一种机器学习模型,用于预测牙周炎患者心力衰竭风险. K-最近的邻居模型在早期诊断和个性化治疗方面表现最好.

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Heart Failure IV: Classification and Diagnostic Evaluation01:30

Heart Failure IV: Classification and Diagnostic Evaluation

Heart failure can be classified in various ways, with the most common classifications based on physical activity limitations, disease progression, severity, and treatment strategies.The Functional Classification of Heart Failure divides patients into four categories based on physical activity limitation due to symptom burden.Class I: Patients in this class have cardiac disease but no physical activity limitations. Ordinary activities like walking, climbing stairs, or routine tasks do not cause...
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