Data mining is the analysis of large datasets to discover patterns and use those patterns to
predict the likelihood of the future events. Data mining is becoming a very important field in …

Breast cancer is the second leading cause of cancer death in women worldwide.
Nevertheless, there is evidence that early detection and treatment can increase the survival …

This work focuses on the issue of diseases diagnosis based on data classification
approaches. We consider mainly the diagnosis of heart diseases, diabetes, hepatitis and …

Nowadays, living standard is improved and people have high interest to the personal health
care problem. Accordingly, people desire to know the personal physical condition and the …

Araştırmanın amacı sağlıklı insanların gelecekte yakalanması ihtimal kalp hastalığını bulmak
ve bu doğrultuda, düşük risk, orta risk ve çok riskli gibi derecelerde sınıflara ayırmaktır. Bu …

From as early as 1854 to today, society has been gathering, processing, transforming,
modeling and visualizing data to help drive data-driven decisions. The qualitative definition …

Healthcare big data streams from multiple information sources at an alarming volume,
velocity, and variety. The challenge that faces the healthcare industry is extracting …

In healthcare, different data mining methods are used to mine dataset and then predict
diseases using medical data with the help of many machine learning methods. Diabetic …

Data mining is the analysis of large datasets to discover patterns and use those patterns to
predict the likelihood of the future events. Data mining is becoming a very important field in …

Background: Rice is the second highly consumed foodstuff among Iranian people. However,
high levels of cadmium (Cd) are reported in some paddy fields in Khuzestan province, Iran …