機械学習に基づく発作間欠期頭蓋内脳波からのてんかん患者の発作起始領域同定

Name of awarding university/degree: 東京農工大学,博士（工学）,Doctor of Philosophy (Engineering)

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Material Type: 博士論文
Title: 機械学習に基づく発作間欠期頭蓋内脳波からのてんかん患者の発作起始領域同定
Title Transcription: キカイガクシュウニモトヅクホッサカンケツキズガイナイノウハカラノテンカンカンジャノホッサキシリョウイキドウテイ
Author/Editor: Akter, Most. Sheuli
Author Heading: Akter, Most. Sheuli
Alternative Title: Machine learning-based approach for identification of seizure onset zone in patients with focal epilepsy from interictal intracranial EEG
Degree grantor/type: 東京農工大学
Date Granted: 2021-03-25
Dissertation Number: 博工甲第1188号
Degree Type: 博士（工学）
Doctor of Philosophy (Engineering)
Text Language Code: eng
Target Audience: 一般
Format (IMT): application/pdf
Source: 本文 fulltext （fulltext）
https://tuat.repo.nii.ac.jp/record/1888/files/202103AkterMostSheuli_F.pdf
Access Restrictions: インターネット公開
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 東京農工大学 : 東京農工大学学術機関リポジトリ