Machine Learning for the Preliminary Diagnosis of Dementia
Joint Authors
Hung, Guang-Uei
Chiu, Pai-Yi
Zhang, Chaoyang
Zhu, Fubao
Li, Xiaonan
Tang, Haipeng
He, Zhuo
Zhou, Weihua
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-07
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Objective.
The reliable diagnosis remains a challenging issue in the early stages of dementia.
We aimed to develop and validate a new method based on machine learning to help the preliminary diagnosis of normal, mild cognitive impairment (MCI), very mild dementia (VMD), and dementia using an informant-based questionnaire.
Methods.
We enrolled 5,272 individuals who filled out a 37-item questionnaire.
In order to select the most important features, three different techniques of feature selection were tested.
Then, the top features combined with six classification algorithms were used to develop the diagnostic models.
Results.
Information Gain was the most effective among the three feature selection methods.
The Naive Bayes algorithm performed the best (accuracy = 0.81, precision = 0.82, recall = 0.81, and F-measure = 0.81) among the six classification models.
Conclusion.
The diagnostic model proposed in this paper provides a powerful tool for clinicians to diagnose the early stages of dementia.
American Psychological Association (APA)
Zhu, Fubao& Li, Xiaonan& Tang, Haipeng& He, Zhuo& Zhang, Chaoyang& Hung, Guang-Uei…[et al.]. 2020. Machine Learning for the Preliminary Diagnosis of Dementia. Scientific Programming،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1209046
Modern Language Association (MLA)
Zhu, Fubao…[et al.]. Machine Learning for the Preliminary Diagnosis of Dementia. Scientific Programming No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1209046
American Medical Association (AMA)
Zhu, Fubao& Li, Xiaonan& Tang, Haipeng& He, Zhuo& Zhang, Chaoyang& Hung, Guang-Uei…[et al.]. Machine Learning for the Preliminary Diagnosis of Dementia. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1209046
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209046