지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.10 No.1
- 발행연도
- 2021.2
- 수록면
- 1 - 9 (9page)
- DOI
- 10.5573/IEIESPC.2021.10.1.001
이용수
초록· 키워드
오류제보하기
sMRI measurement is important for characterizing the pathology of Alzheimer’s disease (AD), mild cognitive impairment (MCI), and healthy control (HC). To date, several imaging and non-imaging bio-markers for AD and MCI have been identified. Cortical thickness, hippocampal atrophy, apolipoprotein E gene ε4 (APoE ε4), and cerebrospinal fluid (CSF) biomarkers are believed to be the major indicators for AD and MCI. In this paper, these features have been utilized successfully to identify AD patients from controls. These biomarkers have mostly been used separately, so far. The full possibilities of combining sMRI, cortical thickness, hippocampal volume, APoE ε4, and CSF biomarkers for AD diagnosis might thus yet lead to optimal analysis. Therefore, we combined hippocampal volume, cortical thickness, APoE ε4, and CSF markers to enhance diagnostic classification of AD. For 53 clinically diagnosed AD patients, 103 patients with mild cognitive impairment, and 61 cognitively healthy controls, we obtained cortical thickness, hippocampal volume, APoE ε4, and CSF biomarkers. These four measures were first applied separately and were then combined to predict AD in support vector machine–recursive feature elimination (SVM-RFE) to select the optimal features. They were fed into different classifiers (naïve Bayes, k-nearest neighbors, and SVM), and experimental results show that the combination of the different biomarkers performs well, as compared to using separate features individually.
목차
Abstract
1. Introduction
2. Material and Method
3. Results and Discussion
4. Conclusion
References
참고문헌 (29)
참고문헌 신청
M. Prince, E. Albanese, M. Guerchet, and M. Prina, “World Alzheimer Report 2014: Dementia and risk reduction: An analysis of protective and modifiable risk factors,” Sep. 2014, Accessed: Apr. 03, 2019.
M. S. Albert et al., “The diagnosis of mild cognitive impairment due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease,” Alzheimers Dement. J. Alzheimers Assoc., vol. 7, no. 3, pp. 270–279, May 2011. Article (CrossRef Link)
R. C. Petersen, G. E. Smith, S. C. Waring, R. J. Ivnik, E. G. Tangalos, and E. Kokmen, “Mild Cognitive Impairment: Clinical Characterization and Outcome,” Arch. Neurol., vol. 56, no. 3, pp. 303–308, Mar. 1999. Article (CrossRef Link)
G. McKhann, D. Drachman, M. Folstein, R. Katzman, D. Price, and E. M. Stadlan, “Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease,” Neurology, vol. 34, no. 7, pp. 939–944, Jul. 1984. Article (CrossRef Link)
K. Blennow and H. Hampel, “CSF markers for incipient Alzheimer’s disease,” Lancet Neurol., vol. 2, no. 10, pp. 605–613, Oct. 2003. Article (CrossRef Link)
M. S. Albert et al., “The diagnosis of mild cognitive impairment due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease,” Alzheimers Dement. J. Alzheimers Assoc., vol. 7, no. 3, pp. 270–279, May 2011. Article (CrossRef Link)
R. C. Petersen, G. E. Smith, S. C. Waring, R. J. Ivnik, E. G. Tangalos, and E. Kokmen, “Mild Cognitive Impairment: Clinical Characterization and Outcome,” Arch. Neurol., vol. 56, no. 3, pp. 303–308, Mar. 1999. Article (CrossRef Link)
G. McKhann, D. Drachman, M. Folstein, R. Katzman, D. Price, and E. M. Stadlan, “Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease,” Neurology, vol. 34, no. 7, pp. 939–944, Jul. 1984. Article (CrossRef Link)
K. Blennow and H. Hampel, “CSF markers for incipient Alzheimer’s disease,” Lancet Neurol., vol. 2, no. 10, pp. 605–613, Oct. 2003. Article (CrossRef Link)
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