Statistical techniques incorporated with machine-learning algorithms in unison with gene-
environment interaction are giving unparalleled understanding of complex diseases …

Abstract While Vehicular Ad-hoc Network (VANET) is developed to enable effective vehicle
communication and traffic information exchange, VANET is also vulnerable to different …

The internet of things (IoT) is an internet among things through advanced communication
without human's operation. The effective use of data classification in IoT to find new and …

Machine learning (ML) approaches are a collection of algorithms that attempt to extract
patterns from data and to associate such patterns with discrete classes of samples in the …

Detecting heart disease is challenging in clinical settings, leading to an increase in mortality
rates. Current detection processes often rely on Electrocardiography (ECG) signal analysis …

Era industri 4.0 dengan pilar utama, yaitu Internet of Things (IoT), cloud computing, artificial
intelligence, dan big data telah memproduksi banyak sekali data. Penumpukan data …

Abstract Broad Learning System (BLS) has achieved outstanding performance in
classification and regression problems. Specifically, the accuracy and efficiency can be …

Heart disease causes major death across the entire globe. Hence, heart disease prediction
is a vital part of medical data analysis. Recently, various data mining and machine learning …

Data categorization is a top concern in medical data to predict and detect illnesses; thus, it is
applied in modern healthcare informatics. In modern informatics, machine learning and …

In this paper, feature weighting is used to develop an effective computer-aided diagnosis
system for breast cancer. Feature weighting is employed because it boosts the classification …