Data mining for healthcare data: a comparison of neural networks algorithms
DE Sondakh - Cogito Smart Journal, 2017 - cogito.unklab.ac.id
Classification has been considered as an important tool utilized for the extraction of useful
information from healthcare dataset. It may be applied for recognition of disease over …
information from healthcare dataset. It may be applied for recognition of disease over …
Data Classification Techniques for Disease Symptoms Detection: A Systematic Literature Review
ED Madyatmadja, RA Bhaskoro… - 2021 International …, 2021 - ieeexplore.ieee.org
Data classification techniques are very useful for disease symptoms detection. Doctor and
medical personnel need a software that can help treat patients. When developing software …
medical personnel need a software that can help treat patients. When developing software …
A comparative study of decision tree and naïve bayesian classifiers on verbal autopsy datasets
G Ondego - 2015 - erepository.uonbi.ac.ke
With an increased effort to reduce mortality rate in most developing countries, accurate
information on the causes of such mortalities is a very crucial component for the …
information on the causes of such mortalities is a very crucial component for the …
Hybrid rough set and heterogeneous ensemble classifiers model for cancer classification
ME Helal, M Elmogy, RM El-Awady - Proceedings of the International …, 2017 - Springer
The enhancing accuracy of machine learning algorithms is essential in making a high-
performance model for the diagnosis of cancer diseases. Many studies have indicated that …
performance model for the diagnosis of cancer diseases. Many studies have indicated that …