A Feature-Driven Decision Support System for Heart Failure Prediction Based on χ(2) Statistical Model and Gaussian Naive Bayes

Heart failure (HF) is considered a deadliest disease worldwide. Therefore, different intelligent medical decision support systems have been widely proposed for detection of HF in literature. However, low rate of accuracies achieved on the HF data is a major problem in these decision support systems....

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Detalles Bibliográficos
Autores principales: Ali, Liaqat, Khan, Shafqat Ullah, Golilarz, Noorbakhsh Amiri, Yakubu, Imrana, Qasim, Iqbal, Noor, Adeeb, Nour, Redhwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6925936/
https://www.ncbi.nlm.nih.gov/pubmed/31885684
http://dx.doi.org/10.1155/2019/6314328

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6925936/
https://www.ncbi.nlm.nih.gov/pubmed/31885684
http://dx.doi.org/10.1155/2019/6314328

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