[机器学习在病中的应用进展]
Pingping Wang1,2, Kedan Cai3
1Health Science Center, Ningbo University, Ningbo 315000, Zhejiang, China.
Zhonghua wei zhong bing ji jiu yi xue
|December 27, 2023
概括
机器学习有助于病的早期预测,诊断和预后. 这项技术增强了医疗决策,以获得更好的患者健康结果.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 脏疾病对全球健康造成重大负担.
- 早期预测,快速诊断和预后对于患者护理至关重要.
- 机器学习 (ML) 为复杂的医疗条件提供先进的数据分析能力.
结论:
- 机器学习在病管理中的整合有望改善患者的治疗结果.
- 增强的ML工具可以支持医疗保健专业人员做出更快,更准确的临床决策.
- 本次审查强调了人工智能在促进科护理方面的日益重要的作用.
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