机器学习和人工智能用于高血压研究
Fatima Zohra Khamissi1, Lorelle Sun1, Paige Johnson1
1Medical College of Wisconsin, Milwaukee, WI, 8701 Watertown Plank Rd, Milwaukee, WI.
American journal of hypertension
|April 19, 2025
概括
高血压是全球主要的健康风险,影响了128亿成年人,许多人不知道他们的情况. 新兴的人工智能 (AI) 和机器学习 (ML) 技术为改善全球高血压检测和管理提供了新的途径.
科学领域:
- 心血管医学 心血管医学
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
背景情况:
- 高血压是全球死亡率和心血管疾病的主要可修改风险因素.
- 据估计,全球约有128亿成年人患有高血压,但近一半没有被诊断或治疗不足.
- 有效的高血压管理对于降低发病率和死亡率至关重要.
研究的目的:
- 突出全球高血压的负担和需要改进的管理策略.
- 讨论人工智能 (AI) 和机器学习 (ML) 在高血压护理中的演变作用.
- 强调早期检测,生活方式改变和药物治疗的重要性.
主要方法:
- 全球高血压统计和当前临床指导方针的审查.
- 讨论AI和ML对高血压研究和患者结果的影响.
- 对高血压定义和目标血压 (BP) 建议的分析.
主要成果:
- 高血压影响全球成年人口的很大一部分.
- 许多患有高血压的人仍然未被诊断或管理不当.
- 人工智能和机器学习正在成为高血压领域的变革性工具.
结论:
- 早期检测和全面管理对于减轻高血压相关的健康风险至关重要.
- 人工智能和机器学习对推进高血压治疗和改善全球健康结果具有重大前景.
- 持续研究和实施创新技术对于应对高血压流行病至关重要.
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