Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4960771 | Procedia Computer Science | 2017 | 6 Pages |
Abstract
Patients with severe kidney failure need to be carefully monitored. One of the many treatments is called Continuous Ambulatory Peritoneal Dialysis (CAPD). This kind of treatment intends to maintain the blood tests as normal as possible. Data Mining and Machine Learning can take a simple and meaningless blood's test data set and build it into a Decision Support System. Through this article, Machine Learning algorithms will be explored with different Data Mining Models in order to extract knowledge and classify a patient with a stroke risk or not, according to their blood analysis.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Mariana Rodrigues, Hugo Peixoto, Marisa Esteves, José Machado, Abelha Abelha,