Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/31201
Título: | Pre-triage decision support improvement in maternity care by means of data mining |
Autor(es): | Pereira, Eliane Brandão, Andreia Salazar, Maria Portela, Filipe Santos, Manuel Machado, José Manuel Abelha, António |
Palavras-chave: | Triage Decision support Maternity care Data mining |
Data: | 2015 |
Editora: | IGI Global |
Resumo(s): | A triage system aims to make a correct characterization of the condition of patients. Because conventional triage systems like Manchester Triage System (MTS) are not suitable for maternity care, a decision model for pre-triaging patients in emergency (URG) and consultation (ARGO) classes was built and incorporated into a Decision Support System (DSS) implemented in Centro Materno Infantil do Norte (CMIN). Complementarily, DSS produces several indicators to support clinical and management decisions. A recent data analysis revealed a bias in the classification of URG cases. Frequently, cases classified as URG correspond to ARGO. This misclassification has been studied by means of Data Mining (DM) techniques in order to improve the pre-triage model and to discover knowledge for developing a new triage system based on waiting times and on a 5-scale of classes. This chapter presents a kind of sensitivity analysis combining input variables in six scenarios and considering four different DM techniques. CRISP-DM methodology was used to conduct the project. |
Tipo: | Capítulo de livro |
URI: | https://hdl.handle.net/1822/31201 |
ISBN: | 978-1-4666-6477-7 |
DOI: | 10.4018/978-1-4666-6477-7.ch009 |
Versão da editora: | http://www.igi-global.com/chapter/pre-triage-decision-support-improvement-in-maternity-care-by-means-of-data-mining/116815 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2014 - IGI Book - DM PreTriage Finalvf1r0.doc | Draft final | 538 kB | Microsoft Word | Ver/Abrir |