Application of data mining for the prediction of prophylactic measures in patients at risk of deep vein thrombosis

In the last decades, with the increase in the amount of data stored in the healthcare industry, it is also extended the possibility of obtaining important information to support the decision-making process of health professionals. This article has as evidence to apply Data Mining (DM) techniques to...

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Bibliographic Details
Main Author: Cruz, Manuela (author)
Other Authors: Esteves, Marisa (author), Peixoto, Hugo (author), Abelha, António (author), Machado, José Manuel (author)
Format: conferencePaper
Language:eng
Published: 2019
Subjects:
Classification
Data mining
Deep vein thrombosis
Prediction
Prophylactic measures
Weka
Online Access:http://hdl.handle.net/1822/65904
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/65904

Internet

http://hdl.handle.net/1822/65904

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