Diagnosis and monitoring of Alzheimer's patients using classical and deep learning techniques

作者：

Highlights：

• Higher accuracy of Alzheimer diagnosis system improves earlier diagnosis chances.

• Physical activity offers substantial resistance to progression of Alzheimer's disease.

• Ability to classify and log activities can help physicians and Alzheimer's patients.

• Machine based activity monitoring offers improved Alzheimer's patient privacy.

摘要

•Higher accuracy of Alzheimer diagnosis system improves earlier diagnosis chances.•Physical activity offers substantial resistance to progression of Alzheimer's disease.•Ability to classify and log activities can help physicians and Alzheimer's patients.•Machine based activity monitoring offers improved Alzheimer's patient privacy.

论文关键词：Alzheimer Disease (AD),Deep Neural Networks,Activities of Daily Life (ADLs),Support Vector Machine (SVM),Machine learning,Magnetic Resonance Imaging (MRI)

论文评审过程：Received 14 October 2018, Revised 7 June 2019, Accepted 17 June 2019, Available online 19 June 2019, Version of Record 1 July 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.06.038