title: Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis.
abstract: Effective utilization of heterogeneous multi-modal data for Alzheimer's Disease (AD) diagnosis and prognosis has always been hampered by incomplete data. One method to deal with this is low-rank matrix completion (LRMC), which simultaneous imputes missing data features and target values of interest. Although LRMC yields reasonable results, it implicitly weights features from all the modalities equally, ignoring the differences in discriminative power of features from different modalities. In this paper, we proposestability-weighted LRMC(swLRMC), an LRMC improvement that weights features and modalities according to theirimportanceandreliability. We introduce a method, calledstability weighting, to utilize subsampling techniques and outcomes from a range of hyper-parameters of sparse feature learning to obtain a stable set of weights. Incorporating these weights into LRMC, swLRMC can better account for differences in features and modalities for improving diagnosis. Experimental results confirm that the proposed method outperforms the conventional LRMC, feature-selection based LRMC, and other state-of-the-art methods.
authors.affiliation: Department of Radiology and BRIC, University of North Carolina, Chapel Hill, USA.
authors.forename: Kim-Han
authors.initials: KH
authors.lastname: Thung
authors.affiliation: Department of Radiology and BRIC, University of North Carolina, Chapel Hill, USA.
authors.forename: Ehsan
authors.initials: E
authors.lastname: Adeli
authors.affiliation: Department of Radiology and BRIC, University of North Carolina, Chapel Hill, USA.
authors.forename: Pew-Thian
authors.initials: PT
authors.lastname: Yap
authors.affiliation: Department of Radiology and BRIC, University of North Carolina, Chapel Hill, USA.
authors.forename: Dinggang
authors.initials: D
authors.lastname: Shen
mesh_terms: D000465:Algorithms; D000544:Alzheimer Disease / Q000000981:diagnostic imaging*; D006801:Humans; D008279:Magnetic Resonance Imaging; D064847:Multimodal Imaging / Q000379:methods*; D059906:Neuroimaging / Q000379:methods; D049268:Positron-Emission Tomography; D012372:ROC Curve; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity