Preoperative templating in Total Hip Replacement (THR) is a method to estimate the optimal size and position of the implant. Today, observational (manual) size recognition techniques are still used to find a suitable implant for the patient. Therefore, a digital and automated technique should be developed so that the implant size recognition process can be effectively implemented. For this purp...

Although both cost-sensitive classification and online learning have been well studied separately in data mining and machine learning, there was very few comprehensive study of cost-sensitive online classification in literature. In this paper, we formally investigate this problem by directly optimizing cost-sensitive measures for an online classification task. As the first comprehensive study, ...

Approximately 25.8 million Americans are living with diabetes, and an additional 79 million are classified as pre-diabetics. Healthcare costs for a diabetic patient are 2.3 times higher than the costs for a non-diabetic patient. The total cost of diabetes on the United States healthcare system in 2007 was recorded to be $174 billion. Management must be optimized in the most cost-effective manne...

Biomedical datasets usually include a large number of features relative to the number of samples. However, some data dimensions may be less relevant or even irrelevant to the output class. Selection of an optimal subset of features is critical, not only to reduce the processing cost but also to improve the classification results. To this end, this paper presents a hybrid method of filter and wr...

Classification is among the core tasks in machine learning. Existing classification algorithms are typically based on assumption of at least roughly balanced data classes. When performing involving imbalanced data, such classifiers ignore minority consideration overall accuracy. The performance traditional distribution insufficient because minority-class samples often more important than others...