Knowledge Discovery in Databases for Prediction of Lab Tests Necessity: A predicting model using real-patients data - Brossura

Pinto, Jeronimo

Brossura

ISBN 10: 3330995750 ISBN 13: 9783330995758

Casa editrice: Novas Edições Acadêmicas, 2017

Riassunto

An ICU database collected at Hospital da Luz, in Lisbon was used for Knowledge retrieval. The Knowledge Discovery in Databases process is applied to this dataset, to obtain classification models that will allow to identify the laboratory testing necessity. Data preprocessing and reduction, feature selection, and classification processes are used. For the classification step, soft computing tools such as fuzzy systems and neural networks are used, combined with SFS, AFS and GA feature selection tools. The feature selection tools have been altered to work with distributed computing, in order to decrease the execution time.

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Informazioni sull?autore

Jeronimo Pinto was always passionate to the magic of big data, obsessed to find patters on it and optimize everything that is possible with machine learning tools.This is his early work on Data mining, during the year of 2011 before the big boom of this buzz word.Later on, he join IPTV/OTT industry:https://www.linkedin.com/in/jeronimosopinto/

Dettagli dell'edizione

• Editore: Novas Edições Acadêmicas
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 3330995750
• ISBN 13: 9783330995758
• Rilegatura: Copertina flessibile
• Numero di pagine: 108
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile