Neuroscience patient identification using big data and fuzzy logic–An Alzheimer’s disease case study

作者：

Highlights：

• Provide quick sorting of patients using Alzheimer Disease Intensity Number (ADIN).

• Enable estimation of the progression of disease and within a patient’s context.

• Achieve sufficient expressiveness in understanding patients’ disease information.

• Knowing the context suggest related treatment(s) or an estimated life expectancy.

摘要

•Provide quick sorting of patients using Alzheimer Disease Intensity Number (ADIN).•Enable estimation of the progression of disease and within a patient’s context.•Achieve sufficient expressiveness in understanding patients’ disease information.•Knowing the context suggest related treatment(s) or an estimated life expectancy.

论文关键词：Big data,Neuroscience,Fuzzy processing,Brain disease,Analysis,Alzheimer

论文评审过程：Received 4 March 2019, Revised 22 June 2019, Accepted 22 June 2019, Available online 26 June 2019, Version of Record 2 July 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.06.049