[HTML][HTML] Rough–Granular Computing knowledge discovery models for medical classification
Medical domain has become one of the most important areas of research in order to
richness huge amounts of medical information about the symptoms of diseases and how to …
richness huge amounts of medical information about the symptoms of diseases and how to …
[PDF][PDF] Response prediction for chronic HCV genotype 4 patients to DAAs
MA Farahat, KA Bahnasy, A Abdo… - International …, 2016 - pdfs.semanticscholar.org
Hepatitis C virus (HCV) is a major cause of chronic liver disease, end stage liver disease
and liver cancer in Egypt. Genotype 4 is the prevalent genotype in Egypt and has recently …
and liver cancer in Egypt. Genotype 4 is the prevalent genotype in Egypt and has recently …
Multi-granulation strategy via feature subset extraction by using a genetic algorithm and a rough sets-based measure of dependence
Abstract Rough Set Theory (RST) is an effective technique for data analysis, which aims at
approximate any concept (domain subset) by a pair of exact sets called the lower and upper …
approximate any concept (domain subset) by a pair of exact sets called the lower and upper …
Rough-mereology framework for making medical treatment decisions based on granular computing
The medical field is considered as one of the most significant research resources. It receives
a great interest from researchers in the field of informatics and medical experts. It has a …
a great interest from researchers in the field of informatics and medical experts. It has a …
Mining Outliers from Medical Datasets Using Neighbourhood Rough Set and Data Classification with Neural Network
In this paper, a neighbourhood rough set is modified and applied as a data pre-processing
method to select samples from a data set before training with a radial basis function neural …
method to select samples from a data set before training with a radial basis function neural …
Multi-granulation Strategy via Feature Subset Extraction by Using a Genetic Algorithm and a Rough Sets-Based Measure of Dependence
R Bello - Progress in Pattern Recognition, Image Analysis …, 2019 - books.google.com
Rough Set Theory (RST) is an effective technique for data analysis, which aims at
approximate any concept (domain subset) by a pair of exact sets called the lower and upper …
approximate any concept (domain subset) by a pair of exact sets called the lower and upper …