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Uncovering Important Diagnostic Features for Alzheimer's, Parkinson's and Other Dementias Using Interpretable Association Mining Methods.

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第一作者： Kazi,Noshin

第一单位： Department of Computer Science, University of Virginia, VA 22903, USA, epw9kz@virginia.edu.

作者： Kazi,Noshin ^[1] ; Mary Regina,Boland ^[2] ; Bojian,Hou ^[3] ; Victoria,Lu ^[4] ; Carol,Manning ^[5] ; Li,Shen ^[6] ; Aidong,Zhang ^[7]

作者单位： Department of Computer Science, University of Virginia, VA 22903, USA, epw9kz@virginia.edu. ^[1] Data Science Program, Department of Mathematics, Saint Vincent College, Latrobe, PA 15650, USA, mary.boland@stvincent.edu. ^[2] Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA, Bojian.Hou@Pennmedicine.upenn.edu. ^[3] Department of Computer Science, University of Virginia, VA 22903, USA, gbp7sb@virginia.edu. ^[4] Department of Neurology, University of Virginia, VA 22903, USA, CM4R@uvahealth.org. ^[5] Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA, li.shen@pennmedicine.upenn.edu. ^[6] Department of Computer Science, University of Virginia, VA 22903, USA, aidong@virginia.edu. ^[7]