使用新的特征选择算法预测年轻女性的认知能力
Afrooz Arzehgar1, Fatemeh Davarinia2, Gordon A Ferns3
1Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Journal of molecular neuroscience : MN
|August 15, 2023
概括
酸盐/酸盐 (NOx),性酸酶 (ALP),酸盐和血小板计数 (PLT) 的血清水平可能表明年轻女性的认知能力. 这些生物标志物可以帮助识别健康成年人的早期认知衰退.
科学领域:
- 生物化学 生物化学
- 神经科学是一个神经科学.
- 数据科学数据科学数据科学
背景情况:
- 认知能力包括关键的心理过程,如决策和执行功能.
- 了解认知功能的生物基础对于识别潜在的健康风险至关重要.
- 生物标志物提供了一种可量化的方法来评估与认知表现相关的生理状态.
研究的目的:
- 研究各种生物标志物与年轻女性认知能力之间的关系.
- 通过机器学习识别可预测认知表现的关键生物标志物.
- 探索这些生物标志物的潜力,以早期发现认知衰退.
主要方法:
- 通过问卷招募了144名18-24岁的女性进行认知评估.
- 测量血清和尿液生物标志物,包括生物化学,血液学,炎症和氧化应激标志物.
- 采用了一种具有特征选择 (过器和包装方法) 和十倍交叉验证的新型层次组合模型.
主要成果:
- 一个决策树分类器在预测认知能力方面取得了大约70.9%的准确性.
- 鉴定到的最有影响力的生物标志物是血清酸盐/酸盐 (NOx),性酸酶 (ALP),酸盐和血小板计数 (PLT).
- 这四种生物标志物形成了认知能力分类的最佳子集.
结论:
- 血清NOx,ALP,酸盐和血液PLT计数是健康年轻女性认知能力的潜在指标.
- 这些发现表明一种简单的方法来评估认知功能和检测早期衰退.
- 进一步的研究可以验证这些生物标志物的更广泛的临床应用.
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