Verbal Decision Analysis Applied on the Optimization of Alzheimer's Disease Diagnosis: A Case Study Based on Neuroimaging

被引:16
|
作者
Tamanini, Isabelle [1 ]
de Castro, Ana Karoline [1 ]
Pinheiro, Placido Rogerio [1 ]
Dantas Pinheiro, Mirian Caliope [1 ]
机构
[1] Univ Fortaleza, Grad Program Appl Comp Sci, BR-60811905 Fortaleza, Ceara, Brazil
关键词
NEUROPSYCHOLOGICAL DIAGNOSIS; HYBRID MODEL; CONSORTIUM; ESTABLISH; REGISTRY; CERAD;
D O I
10.1007/978-1-4419-7046-6_56
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
There is a great challenge in identifying the early diagnosis of the Alzheimer's disease, which has become the most frequent cause of dementia in the last few years, being responsible for 50% of the cases in western countries. The main focus of the work is the development of a multicriteria model for aiding in the decision making on the diagnosis of the Alzheimer's disease. It will be made by means of the Aranau Tool, a decision support system mainly based on the ZAPROS method. The modeling and evaluation processes were conducted based on bibliographic sources, questionnaires, and on information given by a medical expert. The questionnaires analyzed were based mainly on patients' neuroimaging tests and were tried under various relevant aspects to the diagnosis of the disease.
引用
收藏
页码:555 / 564
页数:10
相关论文
共 50 条
  • [41] Advancements in deep learning for Alzheimer's disease diagnosis: A comprehensive exploration and critical analysis of neuroimaging approaches
    Khan, Fakhri Alam
    Khan, Abdullah
    Imran, Muhammad
    Ahmad, Awais
    Jeon, Gwanggil
    EXPERT SYSTEMS, 2024,
  • [42] Discriminative self-representation sparse regression for neuroimaging-based alzheimer's disease diagnosis
    Zhu, Xiaofeng
    Suk, Heung-Il
    Lee, Seong-Whan
    Shen, Dinggang
    BRAIN IMAGING AND BEHAVIOR, 2019, 13 (01) : 27 - 40
  • [43] Neuroimaging correlates of pathologically defined subtypes of Alzheimer's disease: a case-control study
    Whitwell, Jennifer L.
    Dickson, Dennis W.
    Murray, Melissa E.
    Weigand, Stephen D.
    Tosakulwong, Nirubol
    Senjem, Matthew L.
    Knopman, David S.
    Boeve, Bradley F.
    Parisi, Joseph E.
    Petersen, Ronald C.
    Jack, Clifford R., Jr.
    Josephs, Keith A.
    LANCET NEUROLOGY, 2012, 11 (10): : 868 - 877
  • [44] Discriminative self-representation sparse regression for neuroimaging-based alzheimer’s disease diagnosis
    Xiaofeng Zhu
    Heung-Il Suk
    Seong-Whan Lee
    Dinggang Shen
    Brain Imaging and Behavior, 2019, 13 : 27 - 40
  • [45] Deep Learning for Diagnosis of Alzheimer's Disease with FDG-PET Neuroimaging
    Bastos, Jose
    Silva, Filipe
    Georgieva, Petia
    PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2022), 2022, 13256 : 95 - 107
  • [46] Multi-modal neuroimaging feature fusion for diagnosis of Alzheimer's disease
    Zhang, Tao
    Shi, Mingyang
    JOURNAL OF NEUROSCIENCE METHODS, 2020, 341
  • [47] Diagnosis of Alzheimer's Disease by Neuroimaging: Volumetric Versus Visual Rating System
    Shen, Qian
    Potter, Elizabeth
    Appel, Jason
    Bhatia, Nisha
    Barker, Warren
    Wu, Yougui
    Schofield, Elizabeth
    Greig, Maria T.
    Loewenstein, David A.
    Zhao, Wiezhao
    Duara, Ranjan
    NEUROLOGY, 2009, 72 (11) : A151 - A152
  • [48] Should artificial intelligence be used in conjunction with Neuroimaging in the diagnosis of Alzheimer's disease?
    Mirkin, Sophia
    Albensi, Benedict C.
    FRONTIERS IN AGING NEUROSCIENCE, 2023, 15
  • [49] Role of neuroimaging in the diagnosis of Alzheimer's disease, with emphasis on brain MRI and SPECT
    Seto, M.
    Satoh, A.
    Satoh, H.
    Tomita, I.
    Nakao, Y.
    Ichinose, K.
    Mutsukura, K.
    Yuasa, T.
    Tsujihata, M.
    Ochi, M.
    EUROPEAN JOURNAL OF NEUROLOGY, 2012, 19 : 464 - 464
  • [50] Analysis of Complexity Based EEG Features for the Diagnosis of Alzheimer's Disease
    Staudinger, Tyler
    Polikar, Robi
    2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2011, : 2033 - 2036