Multi-task fused sparse learning for mild cognitive impairment identification.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine

Published Date: Jan 1, 2018

Abstract

BACKGROUND: Brain functional connectivity network (BFCN) has been widely applied to identify biomarkers for the brain function understanding and brain diseases analysis.

Authors

Peng Yang
Dong Ni
Siping Chen
Tianfu Wang

School of Biomedical Engineering, Shenzhen University Health Sciences Center, Shenzhen, Guangdong 518060, P.R.China.
Donghui Wu

Department of Geriatric Psychiatry, Shenzhen Kangning Hospital, and Shenzhen Mental Health Center, Shenzhen, Guangdong, China.
Baiying Lei

Keywords

Algorithms Biomarkers Brain Cognitive Dysfunction Databases, Factual Disease Progression Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Support Vector Machine

External Resources

View on PubMed Access via DOI PubMed (29710750)

Multi-task fused sparse learning for mild cognitive impairment identification.

Abstract

Authors

Keywords

External Resources

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