1 resultado para Single dose
em Dalarna University College Electronic Archive
Filtro por publicador
- Abertay Research Collections - Abertay University’s repository (1)
- Aberystwyth University Repository - Reino Unido (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (4)
- Aquatic Commons (5)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (14)
- B-Digital - Universidade Fernando Pessoa - Portugal (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (21)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (13)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (10)
- Bioline International (4)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (73)
- CentAUR: Central Archive University of Reading - UK (19)
- Centro Hospitalar do Porto (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (10)
- Cochin University of Science & Technology (CUSAT), India (2)
- CORA - Cork Open Research Archive - University College Cork - Ireland (3)
- Dalarna University College Electronic Archive (1)
- Deakin Research Online - Australia (14)
- Digital Commons at Florida International University (1)
- Digital Repository at Iowa State University (1)
- DigitalCommons@The Texas Medical Center (12)
- Duke University (7)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (22)
- Helda - Digital Repository of University of Helsinki (12)
- Indian Institute of Science - Bangalore - Índia (53)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (1)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (2)
- National Center for Biotechnology Information - NCBI (18)
- Nottingham eTheses (2)
- Publishing Network for Geoscientific & Environmental Data (2)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (39)
- Queensland University of Technology - ePrints Archive (349)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (2)
- Repositório Institucional da Universidade Federal de São Paulo - UNIFESP (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (164)
- Research Open Access Repository of the University of East London. (1)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- School of Medicine, Washington University, United States (1)
- Universidad del Rosario, Colombia (3)
- Universidad Politécnica de Madrid (2)
- Universidade Federal do Pará (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (5)
- Université de Lausanne, Switzerland (3)
- Université de Montréal, Canada (3)
- University of Queensland eSpace - Australia (22)
- University of Washington (1)
- WestminsterResearch - UK (3)
Resumo:
The aim of this work was to design a set of rules for levodopa infusion dose adjustment in Parkinson’s disease based on a simulation experiments. Using this simulator, optimal infusions dose in different conditions were calculated. There are seven conditions (-3 to +3)appearing in a rating scale for Parkinson’s disease patients. By finding mean of the differences between conditions and optimal dose, two sets of rules were designed. The set of rules was optimized by several testing. Usefulness for optimizing the titration procedure of new infusion patients based on rule-based reasoning was investigated. Results show that both of the number of the steps and the errors for finding optimal dose was shorten by new rules. At last, the dose predicted with new rules well on each single occasion of majority of patients in simulation experiments.