The concept of Rough Set Theory along with the Rule Generation Techniques in Medical Diagnosis in general and particularly for the identification of heart disease through the Core and Reduct of the concerned attributes of an information system are presented.
The proposed Fuzzy Ebola Search Optimized Dynamic K-means Clustering Algorithm (FESO-DKMCA) addresses the problem of medical knowledge being outdated by having fuzzy membership functions that constantly reassign data points to clusters based on degree of belonging rather than strict boundaries, allowing the model to dy...
H. R. Manjunath, Kamal Sutaria, Shweta Loonkar et al.· Knowledge and Information Sy...· 0 citations
We are living in the era known as information era where numerous sectors especially health sectors are put to handle tremendous amount of information. To reduce this burden, an efficient data mining technology has been employed which is a successful evolving technique that has a big future for helping businesses and co...
T. Thamaraiselvan, K. Saravanan, S. Nithyanandam· Journal of Intelligent Decis...· 0 citations
Often, the initial data sets for machine learning contain an excessive number of features, among which there may be highly informative and insignificant, correlating or even noise variables. Solving the feature selection problem not only optimizes machine learning processes, but also opens up new opportunities for impl...
K. Dyomin, I. Germashev· Scientific and Technical Jou...· 0 citations
The study recommends adopting CAE as the default choice in routine clinical applications due to its efficiency, and using RFE in research studies requiring maximum accuracy, to guiding researchers and clinicians in selecting the optimal combination of feature selection and classification algorithms according to their s...
Yahyia BenYahmed· Libyan Journal of Medical an...· 0 citations
The growing importance of data-driven decision making in healthcare, and also other domains like intelligent analytics, has motivated the need for models that are able to achieve high predictive performance while still being interpretable. However, prior works often focused on data mining that contribute transparent ru...
Kanakam Sadhikumar· Advanced International Journ...· 0 citations
Machine learning (ML) models, including rule-based architectures dominant in the technology of fuzzy sets, are constructed with the aid of intensive usage of data. Quite often, knowledge about the system/problem is available and offers some tangible benefits to the construction of the models. The relevance of knowledge...
Witold Pedrycz· IEEE Transactions on Cyberne...· 0 citations
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