血液动力学分析:当人工智能告诉我们我们已经知道的东西时
Frederic Michard1, Nicolai B Foss2, Elena G Bignami3
1MiCo, Vallamand, Switzerland.
British journal of anaesthesia
|January 29, 2025
概括
机器学习 (ML) 算法可以分析大数据,但可能并不总是提供新的临床见解. 与更简单的工具相比,它们对小数据集的需求,如血液动力学变量,仍在调查中.
科学领域:
- 临床信息学是一种临床信息学.
- 生物医学数据科学是生物医学数据科学.
- 医学中的人工智能
背景情况:
- 机器学习 (ML) 算法为处理大型临床数据集提供了先进的功能.
- 机器学习的潜力在于提取超出人类分析能力的复杂模式.
- 然而,ML在临床环境中的实际实用性需要仔细评估.
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