title: Text mining and medicine: usefulness in respiratory diseases.
abstract: It is increasingly common to have medical information in electronic format. This includes scientific articles as well as clinical management reviews, and even records from health institutions with patient data. However, traditional instruments, both individual and institutional, are of little use for selecting the most appropriate information in each case, either in the clinical or research field. So-called text or data «mining» enables this huge amount of information to be managed, extracting it from various sources using processing systems (filtration and curation), integrating it and permitting the generation of new knowledge. This review aims to provide an overview of text and data mining, and of the potential usefulness of this bioinformatic technique in the exercise of care in respiratory medicine and in research in the same field.
authors: Instituto de Investigación del Hospital del Mar (IMIM), Barcelona, España. Electronic address: dpiedra@imim.es.
authors: David
authors: D
authors: Piedra
authors: Instituto de Investigación del Hospital del Mar (IMIM), Barcelona, España; Servicio de Neumología, Hospital del Mar, Barcelona, España; Facultat de Ciències de la Salut i de la Vida, Universitat Pompeu Fabra, Barcelona, España; CIBERES, ISC III, Bunyola, Mallorca, España.
authors: Antoni
authors: A
authors: Ferrer
authors: Instituto de Investigación del Hospital del Mar (IMIM), Barcelona, España; Servicio de Neumología, Hospital del Mar, Barcelona, España; Facultat de Ciències de la Salut i de la Vida, Universitat Pompeu Fabra, Barcelona, España; CIBERES, ISC III, Bunyola, Mallorca, España.
authors: Joaquim
authors: J
authors: Gea
mesh_terms: D019091:Critical Pathways; D057225:Data Mining / Q000379:methods; D016206:Databases, Bibliographic; D016208:Databases, Factual; D019468:Disease Management; D006801:Humans; D008511:Medicine; D011643:Publishing; D012106:Research; D012140:Respiratory Tract Diseases / Q000175:diagnosis / Q000628:therapy; D012586:Science; D049490:Systems Biology
keywords: Chronic obstructive pulmonary disease; Critically ill respiratory patients; Cáncer de pulmón; Enfermedad pulmonar obstructiva crónica; Enfermedades respiratorias; Lung cancer; Minería de textos; Paciente respiratorio crítico; Respiratory diseases; Text mining