International Journal of Science, Engineering and TechnologyAuthors: B. Naresh, C. Jyothi
Abstract: Researchers have shown a lot of interest in the field of medical science. A fair amount of researchers have identified many reasons for early death in humans. According to the relevant literature, there are several causes of diseases, and heart-related illnesses are one of them. In an effort to save lives and aid medical professionals in the detection, prevention, and management of cardiovascular disease, several researchers have put forward unique approaches. Every effective plan has its limitations, but there are several easy approaches that help the expert make a conclusion. The two feature selection approaches, Correlation Based Feature Selection (CFS) and Gain Ratio, as well as the Hidden Markov Model (HMM), Artificial Neural Network (ANN), Support Vector Machine (SVM), and Decision Tree J48, are thoroughly examined using the suggested method. When applied to a separate set of data, the Ranker technique is complemented by the Gain Ratio. The proposed technique analyses the process and then intelligently constructs Naive Bayes processing by combining the two best processes using an appropriate layered architecture. Choosing the best approach and comparing the available schemes with various characteristics for statistical analysis is the primary goal at the outset.
DOI: https://doi.org/10.5281/zenodo.20678726
