Committee Machine Networks to Diagnose Cardiovascular Diseases

A CRISPR Way to Diagnose Infectious Diseases.

During the past 20 years, tremendous advances in methods involving polymerase-chain-reaction (PCR) assays and DNA sequencing have transformed clinical virology and microbiology laboratories. These new methods allow accurate and rapid diagnosis of a wide array of infectious diseases and facilitate the monitoring of responses to the treatment of infections, such as those caused by human immunodef...

An Ontology-Based Expert System for General Practitioners to Diagnose Cardiovascular Diseases

According to World Health Organization, Cardiovascular diseases are the number one cause of death worldwide. Diagnosing the disease in the right time could lower the danger that it may cause. This paper presents an expert system to assist the General Practitioners (GP) to diagnose any kind of coronary artery diseases. The system supplies the experts with the diagnosing strategies that could be ...

A Two-stage Committee Machine of Neural Networks

In solving pattern recognition problems, many ensemble methods have been proposed to replace a single classifier by a classifier committee. These methods can be divided roughly into two categories: serial and parallel approaches. In the serial approach, component classifiers are created by focusing on different parts of the training set in different learning phases. In contrast, without paying ...

Analysis of Pre-processing and Post-processing Methods and Using Data Mining to Diagnose Heart Diseases

Today, a great deal of data is generated in the medical field. Acquiring useful knowledge from this raw data requires data processing and detection of meaningful patterns and this objective can be achieved through data mining. Using data mining to diagnose and prognose heart diseases has become one of the areas of interest for researchers in recent years. In this study, the literature on the ap...

A Bayesian Committee Machine