Fuzzy Clustering Algorithm Based on Improved Global Best-Guided Artificial Bee Colony with New Search Probability Model for Image Segmentation.

Clustering using fuzzy C-means (FCM) is a soft segmentation method that has been extensively investigated and successfully implemented in image segmentation. FCM is useful in various aspects, such as the segmentation of grayscale images. However, FCM has some limitations in terms of its selection of the initial cluster center.

Knowledge, Attitude and Practice Tools for Health Education Among Diabetic Patients.

Health education is an integral part of self-management programs and an important element for the control and effective management of any chronic disease including diabetes. Patient Knowledge, Awareness, and Practices (KAP) are considered to be the most important factors for assessing the results of health education in patients with diabetes. In order to develop such health education models, it is important to have a validated and reliable tools which asses a diabetic patient's knowledge, attitude and practice.