Data Mining for Cardiovascular Disease Prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)
Link
http://link.springer.com/content/pdf/10.1007/s10916-020-01682-8.pdf
Reference11 articles.
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3. Brito C., Esteves M., Peixoto H., Abelha A., Machado J. (2019) A data mining approach to classify serum creatinine values in patients undergoing continuous ambulatory peritoneal dialysis. Wirel. Netw:1–9
4. Ferreira D., Silva S., Abelha A., Machado J.: Recommendation system using autoencoders. Appl. Sci. 10(16):5510, 2020
5. Jothi N., Husain W., et al.: Data mining in healthcare–a review. Procedia Computer Science 72:306–313, 2015
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