A Conceptual Algorithm to Link Police and Hospital Records Based on Occurrence of Values

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2014

Autores

Marco Raul Soares Amorim (Autor) FEUP; Sara Ferreira (Autor) FEUP; António Fidalgo Couto (Autor) FEUP

Ata de Conferência Internacional

Título: 17TH MEETING OF THE EURO WORKING GROUP ON TRANSPORTATION, EWGT2014

Páginas: 224-233

17th Meeting of the EURO-Working-Group on Transportation (EWGT)

Sevilla, SPAIN, JUL 02-04, 2014

Indexação

ISI Web of Knowledge - 4 Citações

Scopus - 4 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia civil

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia civil

Outras Informações

ID Authenticus: P-00K-THV

DOI: 10.1016/j.trpro.2014.10.108

Abstract (EN): Road safety research, in particular road and traffic safety evaluation research, is highly applied and carried out mostly to help reducing the number of road accidents and the injuries resulting from them. This subject has been continuously studied, and in developed countries road safety is improved in a way that, more and more, new measures have less visible impact. Although measures are usually taken directly in the source, which makes all the sense, it is possible to reduce the accident impact if improvements are made "a posteriori"; this is, improving the emergency system to minimize the socioeconomic impact of the accident. In order to study accidents impact it is necessary to merge two different datasets - police and hospital. This process is known as data linkage and besides a manual linkage process there are three main numerical methodologies: deterministic record linkage, fuzzy matching and probabilistic record linkage. Because these types of datasets are usually protected by anonymity, unique identifiers are not possible to achieve, thus the probabilistic record linkage is usually the chosen method. This paper presents a concept for an algorithm based on the databases' demographics. By analyzing the various demographic fields it is possible for the algorithm to calculate individual weights that depend on the occurrence of each fields' values among a specific dataset. The demographics are based on the case of Gaia's city road record accidents. (C) 2014 The Authors. Published by Elsevier B.V.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10