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Updated: Jul 26, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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积极学习模型的表现,以选系统审查中的优先级:对发现相关记录的平均时间进行模拟研究

Gerbrich Ferdinands1, Raoul Schram2, Jonathan de Bruin2

  • 1Department of Methodology and Statistics, Faculty of Social and Behavioral Sciences, Utrecht University, Utrecht, Netherlands. gerbrichferdinands@gmail.com.

Systematic reviews
|June 20, 2023
PubMed
概括

积极学习模型通过更有效地选,大大减少了系统审查中的工作量. 使用TF-IDF模型的天真贝叶斯表现最好,平均发现时间提供了一种比较模型性能的新方法.

关键词:
积极学习是指积极学习.这是一个计算机模拟.数据挖掘是一种数据挖掘.机器学习 机器学习查优先考虑的排序.系统审查是系统的审查.

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In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
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