Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data

Mingliang Wang, Daoqiang Zhang, Dinggang Shen, Mingxia Liu

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive impairment of memory and other cognitive functions. Currently, many multi-task learning approaches have been proposed to predict the disease progression at the early stage using longitudinal data, with each task corresponding to a particular time point. However, the underlying association among different time points in disease progression is still under-explored in previous studies. To this end, we propose a multi-task exclusive relationship learning model to automatically capture the intrinsic relationship among tasks at different time points for estimating clinical measures based on longitudinal imaging data. The proposed method can select the most discriminative features for different tasks and also model the intrinsic relatedness among different time points, by utilizing an exclusive lasso regularization and a relationship induced regularization. Specifically, the exclusive lasso regularization enables partial group structure feature selection among the longitudinal data, while the relationship induced regularization efficiently introduces the relationship information from data to guide knowledge transfer. We further develop an efficient optimization algorithm to solve the proposed objective function. Extensive experiments on both synthetic and real datasets demonstrate the effectiveness of our proposed method. In comparison with several state-of-the-art methods, our proposed method can achieve promising performance for cognitive status prediction and also can help discover disease-related biomarkers.

Original languageEnglish
Pages (from-to)111-122
Number of pages12
JournalMedical Image Analysis
Volume53
DOIs
Publication statusPublished - 2019 Apr

Keywords

  • Alzheimer's disease
  • Clinical status
  • Exclusive lasso
  • Longitudinal analysis

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design

Fingerprint Dive into the research topics of 'Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data'. Together they form a unique fingerprint.

Cite this