Analyze Informant-Based Questionnaire for The Early Diagnosis of Senile Dementia Using Deep Learning

Analyze Informant-Based Questionnaire for The Early Diagnosis of Senile Dementia Using Deep Learning

Objective: This paper proposes a multiclass deep learning method for the classification of dementia using an informant-based questionnaire. Methods: A deep neural network classification model based on Keras framework is proposed in this paper. To evaluate the advantages of our proposed method, we co...

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Bibliographic Details
Main Authors: Fubao Zhu, Xiaonan Li, Daniel Mcgonigle, Haipeng Tang, Zhuo He, Chaoyang Zhang, Guang-Uei Hung, Pai-Yi Chiu, Weihua Zhou
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Dementia
information gain
deep neural network
machine learning
Online Access:https://ieeexplore.ieee.org/document/8933438/

Internet

https://ieeexplore.ieee.org/document/8933438/

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