扣押预测所需的结果指标:扣押频率和基准模型
Chi-Yuan Chang1,2, Boyu Zhang3,4,5, Robert Moss6
1Harvard Medical School, Boston MA.
medRxiv : the preprint server for health sciences
|May 27, 2024
概括
由于发作频率 (SF) 的变化,发作预测模型可能会产生误导性的结果. 移动平均线 (MA) 基准比各种数据集的交替基准更可靠,用于评估预测准确性.
科学领域:
- 神经学 神经学
- 生物医学工程 生物医学工程
- 数据科学数据科学数据科学
背景情况:
- 评估发作预测模型对于管理至关重要.
- 当前的绩效指标可能会受到患者发作频率 (SF) 的影响,可能会扭曲结果.
- 人们越来越认识到在扣押预测模型评估中需要强大的基准.
结论:
- 在评估预测模型时,必须考虑患者的频率 (SF).
- 移动平均 (MA) 模型被提出为未来预测研究的更合适和可靠的基准.
- 这项工作强调了在扣押预测中需要标准化和SF意识的评估方法.
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