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Lecture Notes in Computer Science
Feature learning with high dimensional neuroimaging features has been explored for the applications on neurodegenerative diseases. Low-dimensional biomarkers, such as mental status test scores, gene variations, and protein changes in plasma and cerebrospinal fluid level, are essential in clinical diagnosis of neurological disorders, because they could be simple and effective for the clinicians to assess the disorder's progression and severity. Rather than only using the lowdimensionaldoi:10.1007/978-3-319-14803-8_27 fatcat:6r46rorxnfhbjdq4by4uz2xgga