Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease.

Journal: NeuroImage. Clinical
PMID: 30981204

Abstract

BACKGROUND: In a clinical setting, an individual subject classification model rather than a group analysis would be more informative. Specifically, the subtlety of cortical atrophy in some frontotemporal dementia (FTD) patients and overlapping patterns of atrophy among three FTD clinical syndromes including behavioral variant FTD (bvFTD), non-fluent/agrammatic variant primary progressive aphasia (nfvPPA), and semantic variant PPA (svPPA) give rise to the need for classification models at the individual level. In this study, we aimed to classify each individual subject into one of the diagnostic categories in a hierarchical manner by employing a machine learning-based classification method.

Authors

  • Jun Pyo Kim
    Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Jeonghun Kim
    Samsung Advanced Institute of Technology, Samsung Electronics, 130 Samsung-ro, Yeongtong-gu Gyeonggi-do, Suwon-si, 16678, Republic of Korea.
  • Yu Hyun Park
    Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Seong Beom Park
    Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Jin San Lee
    Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.
  • Sole Yoo
    Department of Cognitive Science, Yonsei University, Seoul, Republic of Korea.
  • Eun-Joo Kim
    Department of Neurology, Busan National University Hospital, Busan, Republic of Korea.
  • Hee Jin Kim
    Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.
  • Duk L Na
    Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.
  • Jesse A Brown
    Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
  • Samuel N Lockhart
    Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, 94720, USA.
  • Sang Won Seo
    Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea. sangwonseo@empal.com.
  • Joon-Kyung Seong
    Department of Bio-convergence Engineering, Korea University, Seoul, Korea. jkseong@korea.ac.kr.

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