TY - JOUR T1 - Text Mining and Medicine: Usefulness in Respiratory Diseases JO - Archivos de Bronconeumología T2 - AU - Piedra,David AU - Ferrer,Antoni AU - Gea,Joaquim SN - 15792129 M3 - 10.1016/j.arbr.2014.02.008 DO - 10.1016/j.arbr.2014.02.008 UR - https://www.archbronconeumol.org/en-text-mining-medicine-usefulness-in-articulo-S1579212914000433 AB - 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. The 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. ER -