Abstract Cardio-Vascular Diseases (CVD) are found to be rampant in the populace leading
to fatal death. The statistics of a recent survey reports that the mortality rate is expanding due …

Investigations of facial analysis (FA) technologies-such as facial detection and facial
recognition-have been central to discussions about Artificial Intelligence's (AI) impact on …

Heart disease is a significant global cause of mortality, and predicting it through clinical data
analysis poses challenges. Machine learning (ML) has emerged as a valuable tool for …

Medical data is one of the most rewarding and yet most complicated data to analyze. How
can healthcare providers use modern data analytics tools and technologies to analyze and …

Energy efficiency has aroused great interest in research worldwide, because energy
consumption has increased in recent years, especially in the residential sector. The …

As people have interests in their health recently, development of medical domain application
has been one of the most active research areas. One example of the medical domain …

Background: Medical informatics has observed an unrestrained growth in the database.
Latest advancements in the field of medical sciences have wiped out lots of critical diseases …

Cardiovascular diseases are currently the major causes of death globally. Among the
strategies to prevent cardiovascular issues, the automated classification of heart sound …

In this study, we introduced a novel hybrid artificial intelligence approach of rotation forest
(RF) as a Meta/ensemble classifier based on alternating decision tree (ADTree) as a base …

Heart diseases are among the nation's leading couse of mortality and moribidity. Data
mining teqniques can predict the likelihood of patients getting a heart disease. The purpose …