Art

J-GLOBAL ID：202002266467984461   Reference number：20A1608319

Relationship between the number of samples and the accuracy of the prediction model for dressing independence using artificial neural networks in stroke patients

脳卒中患者における人工ニューラルネットワークを用いたサンプル数と着衣自立の予測モデルの精度との関係

Author (8)： Fujita Takaaki (Department of Rehabilitation, Faculty of Health Sciences, Tohoku Fukushi University) ,  Ohashi Takuro (Department of Rehabilitation, Kita-Fukushima Medical Center) ,  Yamane Kazuhiro (Department of Rehabilitation, Kita-Fukushima Medical Center) ,  Yamamoto Yuichi (Department of Rehabilitation, Kita-Fukushima Medical Center) ,  Sone Toshimasa (Department of Rehabilitation, Faculty of Health Sciences, Tohoku Fukushi University) ,  Ohira Yoko (Department of Rehabilitation, Kita-Fukushima Medical Center) ,  Otsuki Koji (Department of Rehabilitation, Kita-Fukushima Medical Center) ,  Iokawa Kazuaki (Preparing Section for New Faculty of Medical Science, Fukushima Medical University)
Material： Japanese Journal of Comprehensive Rehabilitation Science (Web)  (Jpn J Compr Rehabil Sci (Web))
Volume： 11  Page： 28-34(J-STAGE)  Publication year： 2020 
JST Material Number： U0406A  ISSN： 2185-5323  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： human(primates) ,...
Semi thesaurus term： *stroke patient ,...

Register(free) or Log In to access     To see more with JDream III (charged).   {{ this.onShowAbsJLink("http://jdream3.com/lp/jglobal/index.html?docNo=20A1608319&from=J-GLOBAL&jstjournalNo=U0406A") }}

Author keywords (3)： stroke ,  prediction ,  activities of daily living

JST classification (2)： Rehabilitation  (GB06000Z) ,  Nervous system diseases  (GN03000O)

Reference (32)：

• 1 . Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, et al. Heart disease and stroke statistics-2015 update: a report from the American Heart Association. Circulation 2015; 313: e29-322.
• 2. Counsell C, Dennis M. Systematic review of prognostic models in patients with acute stroke. Cerebrovasc Dis 2001; 12: 159-70.
• 3. Veerbeek JM, Kwakkel G, van Wegen EE, Ket JC, Heymans MW. Early prediction of outcome of activities of daily living after stroke: a systematic review. Stroke 2011; 42: 1482-8.
• 4. Sato A, Fujita T, Ohashi Y, Yamamoto Y, Suzuki K, Otsuki K. A prediction model for activities of daily living for stroke patients in a convalescent rehabilitation ward. J Allied Health Sci 2016; 7: 1-6.
• 5. Fujita T, Sato A, Narita A, Sone T, Iokawa K, Tsuchiya K, et al. Use of a multilayer perceptron to create a prediction model for dressing independence in a small sample at a single facility. J Phys Ther Sci 2019; 31: 69-74.

Terms in the title (6)： 脳卒中患者 ,  人工ニューラルネットワーク ,  サンプル ,  着衣 ,  自立 ,  予測モデル