1 resultado para DOSE REQUIREMENTS
em Dalarna University College Electronic Archive
Filtro por publicador
- JISC Information Environment Repository (2)
- Aberystwyth University Repository - Reino Unido (1)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (1)
- Aquatic Commons (44)
- ARCA - Repositório Institucional da FIOCRUZ (2)
- Archive of European Integration (3)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (1)
- Avian Conservation and Ecology - Eletronic Cientific Hournal - Écologie et conservation des oiseaux: (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (21)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (3)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (2)
- Boston University Digital Common (1)
- Brock University, Canada (3)
- CaltechTHESIS (1)
- Cambridge University Engineering Department Publications Database (66)
- CentAUR: Central Archive University of Reading - UK (109)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (59)
- Cochin University of Science & Technology (CUSAT), India (6)
- CORA - Cork Open Research Archive - University College Cork - Ireland (3)
- Dalarna University College Electronic Archive (1)
- Deakin Research Online - Australia (172)
- Department of Computer Science E-Repository - King's College London, Strand, London (5)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (6)
- Digital Commons at Florida International University (1)
- Diposit Digital de la UB - Universidade de Barcelona (1)
- Duke University (5)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (15)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (5)
- Greenwich Academic Literature Archive - UK (5)
- Helda - Digital Repository of University of Helsinki (18)
- Indian Institute of Science - Bangalore - Índia (19)
- Infoteca EMBRAPA (1)
- Instituto Politécnico do Porto, Portugal (7)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (5)
- Massachusetts Institute of Technology (1)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (9)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (185)
- Queensland University of Technology - ePrints Archive (139)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (4)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (3)
- Repositório Institucional da Universidade de Aveiro - Portugal (3)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (4)
- Research Open Access Repository of the University of East London. (2)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (7)
- SAPIENTIA - Universidade do Algarve - Portugal (4)
- School of Medicine, Washington University, United States (2)
- Scielo España (1)
- Universidad Autónoma de Nuevo León, Mexico (1)
- Universidad del Rosario, Colombia (2)
- Universitat de Girona, Spain (3)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Lausanne, Switzerland (8)
- Université de Montréal, Canada (9)
- University of Queensland eSpace - Australia (2)
- University of Southampton, United Kingdom (1)
- University of Washington (1)
- WestminsterResearch - UK (1)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
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.