Data Mining and Machine Learning Applications

Aim: Heart disease detection using machine learning methods has been an outstanding research topic as heart diseases continue to be a burden on healthcare systems around the world. Therefore, in this study, the performances of machine learning methods for predictive classification of coronary heart disease were compar…

• FATMA HİLAL YAĞIN

Aim: Heart disease detection using machine learning methods has been an outstanding research topic as heart diseases continue to be a burden on healthcare systems around the world. Therefore, in this study, the performances of machine learning methods for predictive classification of coronary heart disease were compar…

• RÜSTEM YILMAZ

Artificial Neural Networks are commonly used to solve problems in many areas, such as classification, pattern recognition, and image processing. The most challenging and critical phase of an Artificial Neural Networks is related with its training process. The main challenge in the training process is finding optimal n…

• BAHAEDDİN TÜRKOĞLU

Artificial Neural Networks are commonly used to solve problems in many areas, such as classification, pattern recognition, and image processing. The most challenging and critical phase of an Artificial Neural Networks is related with its training process. The main challenge in the training process is finding optimal n…

• ERSİN KAYA

This study aims to determine the opinions of academicians who teach scientific research methods courses in the field of social sciences on collecting data through online surveys, on the “voluntary basis” of academic research, and on their comparisons of voluntary participation in face-to-face and online-survey data co…

• HAKAN KILINÇ
• MEHMET FIRAT

Today, the use of software in qualitative research analysis is rapidly becoming widespread among researchers. Researchers manage large data sets using features such as editing data, transcribating, creating codes, and searching within data. However, while the data analysis uses software in a format, the analysis of th…

• TUĞRUL GÖKMEN ŞAHİN

Today, the use of software in qualitative research analysis is rapidly becoming widespread among researchers. Researchers manage large data sets using features such as editing data, transcribating, creating codes, and searching within data. However, while the data analysis uses software in a format, the analysis of th…

• MERT ŞEN
• ŞEVVAL NUR ŞEN

Abstract Emergency departments (EDs) are the largest departments of hospitals which encounter high variety of cases as well as high level of patient volumes. Thus, an efficient classification of those patients at the time of their registration is very important for the operations planning and management. Using seconda…

• GÖRKEM ATAMAN

The tremendous growth of the Covid19 epidemic in recent months is devastatingly affecting human civilization. Many different biomarkers are being studied to monitor the patient's health. This might mask the symptoms of various diseases, making it more challenging for a doctor to make a correct diagnosis or prognosis.…

Along with the rapid change of information technologies and the widespread use of the internet over time, data stacks with ample diversity and quite large volumes has emerged. The use of data mining is increasing day by day due to the huge part it plays in the acquisition of information by making necessary analyses es…

• GAZİ ERKAN BOSTANCI
• MEHMET SERDAR GÜZEL

No abstract yet.

• PORKODI SIVARAM

No abstract yet.

• SIVARAM MURUGAN