Application of elastic net for clinical outcome prediction and classification in progressive supranuclear palsy: A multicenter cohort study.

Journal: Parkinsonism & related disorders
Published Date:

Abstract

BACKGROUND: Previous studies have used machine learning to identify clinically relevant atrophic regions in progressive supranuclear palsy (PSP). This study applied Elastic Net (EN) in PSP to uncover key atrophic patterns, offering a novel approach to understanding its pathology.

Authors

  • Seungmin Lee
    Department of Robotics Engineering, DGIST-ETH Microrobot Research Center, Daegu Gyeongbuk Institute of Science and Technology (DGIST), 333 Techno Jungang-daero, Hyeonpung-Myeon, Dalseong-Gun, Daegu, 42988, Republic of Korea.
  • Heejung Kim
    College of Nursing, Yonsei University, Seoul, Republic of Korea.
  • Ryul Kim
    Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, South Korea.
  • Bora Jin
    Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, South Korea; Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
  • Seoyeon Kim
    Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, South Korea; Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
  • Kyung-Ah Woo
    Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, South Korea; Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
  • Jung Hwan Shin
    Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
  • Beomseok Jeon
  • Han-Joon Kim
    Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
  • Jee-Young Lee
    Department of Neurology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, 07061, Republic of Korea. wieber04@snu.ac.kr.