caa a22 4500 606187499 CHVBK 20210128100841.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s00405-014-3337-3 doi (NATIONALLICENCE)springer-10.1007/s00405-014-3337-3 Use of data mining to predict significant factors and benefits of bilateral cochlear implantation [Elektronische Daten] [Angel Ramos-Miguel, Teresa Perez-Zaballos, Daniel Perez, Juan Falconb, Angel Ramosb] Data mining (DM) is a technique used to discover pattern and knowledge from a big amount of data. It uses artificial intelligence, automatic learning, statistics, databases, etc. In this study, DM was successfully used as a predictive tool to assess disyllabic speech test performance in bilateral implanted patients with a success rate above 90%. 60 bilateral sequentially implanted adult patients were included in the study. The DM algorithms developed found correlations between unilateral medical records and Audiological test results and bilateral performance by establishing relevant variables based on two DM techniques: the classifier and the estimation. The nearest neighbor algorithm was implemented in the first case, and the linear regression in the second. The results showed that patients with unilateral disyllabic test results below 70% benefited the most from a bilateral implantation. Finally, it was observed that its benefits decrease as the inter-implant time increases. Springer-Verlag Berlin Heidelberg, 2014 Cochlear implant nationallicence Bilateral nationallicence Quality of life nationallicence Data mining nationallicence Ramos-Miguel Angel University of Las Palmas of Gran Canaria, Gran Canaria, Spain aut Perez-Zaballos Teresa University of Las Palmas of Gran Canaria, Gran Canaria, Spain aut Perez Daniel University of Las Palmas of Gran Canaria, Gran Canaria, Spain aut Falconb Juan University of Las Palmas of Gran Canaria, Gran Canaria, Spain aut Ramosb Angel University of Las Palmas of Gran Canaria, Gran Canaria, Spain aut European Archives of Oto-Rhino-Laryngology Springer Berlin Heidelberg 272/11(2015-11-01), 3157-3162 0937-4477 272:11<3157 2015 272 405 https://doi.org/10.1007/s00405-014-3337-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00405-014-3337-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ramos-Miguel Angel University of Las Palmas of Gran Canaria, Gran Canaria, Spain aut NATIONALLICENCE 700 1- Perez-Zaballos Teresa University of Las Palmas of Gran Canaria, Gran Canaria, Spain aut NATIONALLICENCE 700 1- Perez Daniel University of Las Palmas of Gran Canaria, Gran Canaria, Spain aut NATIONALLICENCE 700 1- Falconb Juan University of Las Palmas of Gran Canaria, Gran Canaria, Spain aut NATIONALLICENCE 700 1- Ramosb Angel University of Las Palmas of Gran Canaria, Gran Canaria, Spain aut NATIONALLICENCE 773 0- European Archives of Oto-Rhino-Laryngology Springer Berlin Heidelberg 272/11(2015-11-01), 3157-3162 0937-4477 272:11<3157 2015 272 405