Medical data classification is an important factor in improving diagnosis and treatment and can assist physicians in making decisions about serious diseases by collecting symptoms and medical analyses. In this work, hybrid ...

The health care industry produces a huge amount of data that collects complex patient and medical information. Data mining is popular in various fields of research because of its applications and methodologies to extract ...

Due to its various applications, such as security systems, medical systems, entertainment, etc., face recognition has also been identified as one of the main research topics. The preferred method of human identification ...

This research presents an applied study of the field of knowledge discovery of educational data using data mining techniques, focusing on the development of teaching and learning, by discovering the main patterns of testing ...

Thousands of licensed drugs are now available to patients. The Warnings and Precautions section of a medication's label was created to identify and characterize severe or clinically significant adverse reactions and other ...

Deep transfer learning is one of the common techniques used to classify different types of cancer. The goal of this research is to focus on and adopt a fast, accurate, suitable, and reliable for classification of colorectal ...

Researchers have successfully implemented machine learning classifiers to predict bugs in a change file for years. Change classification focuses on determining if a new software change is clean or buggy. In the literature, ...

Bu çalışma, 2002 yılında geliştirilen İstatistikî Bölge Birimleri Sınıflandırması (İBBS) adlı sınıflandırma perspektifi çerçevesinde şekillendirilen, Türkiye’nin 2010’lardaki yerelleşme politikasını incelemekte; yeni ...

In 2019, the world had been attacked with a severe situation by the new version of the SARSCOV- 2 virus, which is later called COVID-19. One can use artificial intelligence techniques to reduce time consumption and find ...

Brain computer interface studies required recording of a physiological response of a subject to exhibit relevant information. This extracted information can be used to perform an action and the amount of the information plays ...