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Toplam kayıt 4, listelenen: 1-4
DEVELOPMENT OF DATA MINING METHODOLOGIES AND MACHINE LEARNING MODELS TO UNDERSTAND CARDIOVASCULAR DISEASE MECHANISMS
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2020)
World Health Organization (WHO) reported that in 2016, 31% (17.9 million) of
the total deaths in the world were caused by Coronary Artery Disease (CAD) and
it is estimated that around 23.6 million people will die from ...
MACHINE LEARNING BASED INTEGRATION OF miRNA AND mRNA PROFILES COMBINED WITH FEATURE GROUPING AND RANKING
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2021)
It is very important to understand the development and progression mechanisms
of the diseases at the molecular level. Revealing the functional mechanisms that cause
the disease not only contributes to the molecular ...
Automated processing and classification of medical thermal images
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2022)
The aim of this dissertation is to develop computer aided methods for processing
and evaluating medical infrared thermal images. Throughout this study three problems
were evaluated. The first problem was to automatically ...
A novel approach based on bagging and boosting for imbalanced classification problems
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2022)
Classification algorithms are employed in a wide range of real-world problems such as
obstacle detection, fraud detection, medical diagnosis, spam detection, speech
recognition, image processing, intrusion detection, and ...