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Toplam kayıt 11, listelenen: 1-10
YSA KULLANILARAK MAMOGRAMLARDAN DOKUSAL ÖZNİTELİK TABANLI MEME KANSERİ İLGİ BÖLGESİ SINIFLANDIRILMASI
(TÜBİTAK ULAKBİM Ulusal Akademik Ağ ve Bilgi Merkezi Cahit Arf Bilgi Merkezi, 2020)
Radyoloji uzmanlarının mamografi görüntülerine bakarak yaptığı meme kanseri teşhislerinde tip bir hata oranı yüzde otuzlara kadar çıkmaktadır. Kanserin teşhis başarısını artırmak adına bu çalışmada uzmanlara yardımcı olacak ...
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 ...
DEVELOPING A LABEL PROPAGATION APPROACH FOR CANCER SUBTYPE IDENTIFICATION PROBLEM
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2021)
Kanser terimi, anormal hücrelerin kontrolden çıkıp diğer dokuları istila ettiği hastalıkları tanımlamak için kullanılır. Çok sayıda kanser türü vardır ve birçok kanser türü, farklı klinik ve biyolojik etkileri olan çeşitli ...
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 ...
An Ensemble Feature Selection Methodology That Incorporates Domain Knowledge for Cardiovascular Disease Diagnosis
(IEEE, 2020)
Koroner Arter Hastalığı (KAH), arterlerin
duvarlarında aterom denilen yağlı madde birikiminin bir
sonucu olarak kalbin yeterince beslenememesi durumudur.
KAH, 2016 yılında dünyadaki toplam ölümlerin %31'ine (17,9
milyon) ...
Antimicrobial peptide activity prediction using machine learning methods
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2023)
Antimicrobial peptides (AMPs) are considered as promising alternatives to conventional antibiotics in order to overcome the growing problems of antibiotic resistance. Computational prediction approaches receive an increasing ...
Image processing based analysis and quantification of micro biomaterials and cells for biochip
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2023)
Quantification of tumor cells is essential for early cancer detection and progression tracking. Multiple techniques have been devised to detect tumor cells. In addition to conventional laboratory instruments, several ...
Data Mining Techniques in Direct Marketing on Imbalanced Data using Tomek Link Combined with Random Under-sampling
(Association for Computing Machinery, 2021)
Determining the potential customers is very important in direct marketing. Data mining techniques are one of the most important methods for companies to determine potential customers. However, since the number of potential ...
AI-based fog and edge computing: A systematic review, taxonomy and future directions
(ELSEVIER, 2023)
Resource management in computing is a very challenging problem that involves making sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse nature of workload, and the unpredictability of ...
miRcorrNetPro: Unraveling Algorithmic Insights through Cross-Validation in Multi-Omics Integration for Comprehensive Data Analysis
(Institute of Electrical and Electronics Engineers Inc., 2023)
High throughput -omics technologies facilitate the
investigation of regulatory mechanisms of complex diseases.
Along this line, scientists develop promising tools and methods
to extend our understanding at the molecular ...