Abstract Chronic Disease Prediction plays a pivotal role in healthcare informatics. It is crucial
to diagnose the disease at an early stage. This paper presents a survey on the utilization of …

Advanced predictive analytics coupled with an effective attribute selection method plays a
pivotal role in the precise assessment of chronic disorder risks in patients. Traditional …

There is a consistent rise in chronic diseases worldwide. These diseases decrease immunity
and the quality of daily life. The treatment of these disorders is a challenging task for medical …

Background and objective Datamining (DM) has, over the last decade, received increased
attention in the medical domain and has been widely used to analyze medical datasets in …

Business analytics use techniques from data science, data mining, artificial intelligence
(especially, machine learning), mathematics and statistics to gain insights and …

Measurements of temporal and spatial changes to indoor contaminant concentrations are
vital to understanding pollution characteristics. Whilst scientific instruments provide high …

Heart disease is a complex disease that affects a large number of people worldwide. The
timely and accurate detection of heart disease is critical in healthcare, particularly in the field …

The diagnosis of heart disease is found to be a serious concern, so the diagnosis has to be
done remotely and regularly to take the prior action. In the present world finding the …

The rising number of traffic accidents has become a major issue in our daily life, which has
attracted the concern of society and governments. To deal with this issue, in our previous …

The early diagnosis of chronic diseases plays a vital role in the field of healthcare
communities and biomedical, where it is necessary for detecting the disease at an initial …