The healthcare industry has become increasingly challenging, requiring retrieval of
knowledge from large amounts of complex data to find the best treatments. Several works …

Precision medicine will revolutionize the way we treat and prevent disease. A major barrier
to the implementation of precision medicine that clinicians and translational scientists face is …

Motivation: Global gene expression profiling, both at the transcript level and at the protein
level, can be a valuable tool in the understanding of genes, biological networks, and cellular …

In this study, we introduces a classification approach using Multi-Layer Perceptron (MLP)
with Back-Propagation learning algorithm and a feature selection algorithm along with …

Usage of compressed ECG for fast and efficient telecardiology application is crucial, as ECG
signals are enormously large in size. However, conventional ECG diagnosis algorithms …

The data mining is a process of analyzing a huge data from different perspectives and
summarizing it into useful information. The information can be converted into knowledge …

The diagnosis of diseases is a significant and tedious task in medicine. The detection of
heart disease from various factors or symptoms is a multi-layered issue which is not free …

Cardiovascular disease (CVD) is a big reason of morbidity and mortality in the current living
style. Identification of Cardiovascular disease is an important but a complex task that needs …

In this research paper, the use of pattern recognition and data mining techniques into risk
prediction models in the clinical domain of cardiovascular medicine is proposed. The data is …

Association rule mining is a widely used data mining technique in various domains. It
enables the identification of trends, frequent patterns, and relationships among the data …