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Effectiveness of a cooking program on occupational performance skills for clients with dementia
Get PDFapplication/pdf入院中の認知症者に対して週に1回の頻度で8週間の調理活動プログラムを実施し，その有効性を主に作業遂行技能の側面で検討した。プログラムの特徴は，配席の工夫や視覚的手がかりを与え，失敗しないようにしながら作業遂行を促進する支援をすることだった。プログラムを完遂した介入群11名，対照群9名の9週目の成果では，改定長谷川式簡易知能評価スケール（HDS-R）とAssessment of Motor and Process Skills（AMPS）運動技能の変化量は両群間に有意差は認められなかった。AMPS プロセス技能は，介入群では有意に向上しているのに対して，対照群は有意に低下しており，変化量は両群間に有意差が認められた（効果1.0）。本調理活動プログラムは認知症者の日常生活活動（ADL）のプロセス技能の向上に寄与することが示唆された。We tried a cooking program for persons with dementia at a hospital, which consisted of once a week sessions for eight weeks and discussed the effectiveness of the program from the view point of occupational performance skills. The core characteristic of the program was to facilitate their occupational performance by considering their seating allocation, giving visual cues and helping them so as not to fail as much as possible. Eleven participants in the intervention group and nine participants in the control group participated until the last session. At nine weeks, there was no significant difference in amount of change on HDS-R scores and AMPS motor skills scores. AMPS process skills scores significantly increased in the intervention group whereas they significantly decreased in the control group, and the changing amounts of AMPS process skills score were significantly different between both groups at nine weeks (effect size 1.0). It was indicated that this cooking program positively contributed to enhancement of ADL process skills in participants with dementia.原著journal articl
Studies on the anti⁻allergic activity and the anti⁻tumor activity of lipophilic stable ascorbic acid derivatives
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Investigation of the role of genotoxic stress⁻induced RhoGDIβ cleavage in human cervical carcinoma (HeLa) cell line
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Regional vitalization by regional excursion-style film festival
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Studies on affinity resins as new tools for identifying target proteins of ascorbic acid
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Development of Mobile OPAC with AR Navigation Operable on Web Browser
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Cancer Prediction of Medical Examination Data and Its Knowledge Extraction by Adaptive Structural Learning of Deep Belief Network
Get PDFapplication/pdfAbstract?Deep Learning has a hierarchical network architecture to represent the complicated feature of in-put patterns. We have developed the adaptive structure learning method of Deep Belief Network (DBN) that can discover an optimal number of hidden neurons for given input data in a Restricted Boltzmann Machine (RBM) by neuron generation-annihilation algorithm, and hidden layers in DBN. The proposed adaptive structure DBN was applied to the comprehensive medical examination data for the cancer prediction. The prediction system shows the highest classi?cation accuracy among the traditional DBN. In this paper, the explicit knowledge with respect to the relation between input and output patterns was extracted from the trained DBN network by C4.5. Some characteristics extracted in the form of If-Then rules to ?nd an initial cancer were reported in this paper.開催日：平成30年7月28日 会場：広島工業大学conference pape
Attempt to Classi?cation and Localization of Thorax Diseases on ChestX-ray8 by Adaptive Structural Learning of Deep Belief Network
Get PDFapplication/pdfAbstract?Deep Learning has a hierarchical network architecture to represent the complicated feature of in-put patterns. We have developed the adaptive structure learning method of Deep Belief Network (DBN) that can discover an optimal number of hidden neurons for given input data in a Restricted Boltzmann Machine (RBM) by neuron generation-annihilation algorithm, and hidden layers in DBN. We examined to the learning method to medical open database: CXR8. The CXR8 is one of the most commonly accessible radiological examination for screening and diagnosis of many lung diseases. This paper describes our method accuracy of the classi?cation and localization for the given bounding box(B-Box). The classi?cation ratio for 8 diseases were almost 100% score. A new localization method for DBN is proposed here and the discrete heatmap, the likelihood map of pathologies, was automatically constructed.開催日：平成30年7月28日 会場：広島工業大学conference pape