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Updated: May 29, 2025

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利用变压器模型来预测认知障碍:准确性,效率和可解释性

Kai Ma1, Junzhi Zhang2, Xinhang Huang3

  • 1College of Culture and Health Communication, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, PR, China.

BMC public health
|February 7, 2025
PubMed
概括

这项研究引入了一种增强的变压器模型,用于预测轻度认知障碍 (MCI),准确度超过90%. 该模型有效处理混合数据类型,优于早期神经退行性疾病检测的传统方法.

关键词:
阿尔茨海默氏症 (AD) 是一种疾病.机器学习是机器学习.轻度认知障碍 (MCI) 是一种轻度认知障碍.神经退行性疾病的预测预测.变压器模型模型

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Cognitive enhancers, also known as "smart drugs," are substances used to enhance memory, mental alertness, and concentration. These can be natural or synthetic and improve cognition in conditions like Alzheimer's disease (AD) and other neurodegenerative diseases. Some common examples include caffeine, amphetamines, methylphenidate, modafinil, arecoline, donepezil, vortioxetine, and piracetam. These enhancers work on the principle of synaptic plasticity and altered circuit function.
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