Type 2 - Diabetes Mellitus (T2-DM) is a prevalent and chronic metabolic syndrome with a growing global incidence. Early prediction of individuals at risk for developing T2-DM is essential for ...

Abstract: The frequent itemsets in the presence of large data categories lead to disturbance, accuracy of data mining association rules feature is not good, in order to improve the extraction ...

Our rule-based algorithm effectively captured the first OC recurrence from large-scale EHR while closely approximating the recurrence-free survival estimates obtained by conventional retrospective ...

As more financial advisors look for ways to adapt and streamline their businesses, many are turning to outside sources like exchange traded fund model portfolios and research providers to help ...

Discover how an improved Apriori data mining algorithm enhances book management systems. Integrated C/S and B/S architectures provide easy access to book information for library staff and borrowers.

Algorithm process diagram with (A) the concept extraction, (B) the information extraction, (C) a sentence example, and (D) ... In this study, the choice of developing a rule-based algorithm was guided ...

Such rule-based algorithms are fundamental in the talent acquisition process, providing a reliable and efficient method for initial candidate assessment.