ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease

作者：

Highlights：

• An adaptive-similarity-based multi-modality feature selection method is proposed.

• This method captures the intrinsic similarity shared across different modality data.

• This method discovers the disease sensitive biomarkers.

• This method yields better performance on identifying disease status.

摘要

•An adaptive-similarity-based multi-modality feature selection method is proposed.•This method captures the intrinsic similarity shared across different modality data.•This method discovers the disease sensitive biomarkers.•This method yields better performance on identifying disease status.

论文关键词：Multi-modality,Similarity learning,Feature selection,Alzheimer's disease

论文评审过程：Received 14 February 2020, Revised 27 January 2022, Accepted 30 January 2022, Available online 2 February 2022, Version of Record 10 February 2022.

论文官网地址：https://doi.org/10.1016/j.patcog.2022.108566