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人工智能在使用现实数据预测脆弱性的进步:范围审查

Chen Bai1, Mamoun T Mardini1

  • 1Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32611, United States.

Ageing research reviews
|October 6, 2024
PubMed
概括

人工智能 (AI) 和现实世界的数据 (RWD) 对老年人的脆弱性评估有希望. 需要进一步验证以确认临床实用性,并将结构化数据与临床注释整合起来,以提高预测.

关键词:
人工智能的人工智能是人工智能.脆弱性 脆弱性 脆弱性自然语言处理自然语言处理.现实世界的数据数据.范围审查 范围审查

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Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...