Presentation Information
[O-21-3]Predicting achievement of clinical goals using machine learning in myasthenia gravis
Hiroyuki Akamine1, Akiyuki Uzawa1, Satoshi Kuwabara1, Yosuke Onishi1, Manato Yasuda1, Yukiko Ozawa1, Naoki Kawaguchi1, Tomoya Kubota2, Masanori Takahashi2, Shigeaki Suzuki3, Masayuki Masuda4, Shingo Konno5, Naoya Minami6, Takashi Kimura7, Makoto Samukawa8, Yasushi Suzuki9, Gennya Watanabe9, Yuriko Nagane10, Kimiaki Utsugisawa10 (1.Graduate School of Medicine, Chiba University Neurology, Japan, 2.Department of Clinical Laboratory and Biomedical Sciences, Division of Health Sciences, Osaka University Graduate School of Medicine, Japan, 3.Department of Neurology, Keio University School of Medicine, Japan, 4.Department of Neurology, Tokyo Medical University, Japan, 5.Department of Neurology, Toho University Ohashi Medical Center, Japan, 6.National Hospital Organization Hokkaido Medical Center, Japan, 7.Department of Neurology, Hyogo Medical University, Japan, 8.Department of Neurology, Kindai University Faculty of Medicine, Japan, 9.Department of Neurology, National Hospital Organization Sendai Medical Center, Sendai, Japan, Japan, 10.Department of Neurology, Hanamaki General Hospital, Japan)