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Results: 5
Proximate Breast Cancer Factors Using Data Mining Classification Techniques
Breast cancer is the most common of all cancers and is the leading cause of cancer deaths in women worldwide. The classification of breast cancer data can be useful to predict the outcome of some diseases or discover the genetic...
Published by: IGI Global
Virtual Reality in Medical Education
The aim of this research is to examine student acceptance and use of virtual reality technologies in medical education. Within the scope of the research, a questionnaire consisting of 4 sub-dimensions and 21 items was developed...
Published by: IGI Global
Predicting Patient Admission From the Emergency Department Using Administrative and Diagnostic Data
Emergency department (ED) overcrowding is a growing problem in Canada. Many interventions have been proposed to increase patient flow. The objective of this study was to predict patient admission early in the visit with the goal...
Published by: IGI Global
Performance Analysis of Machine Learning Algorithms for Cervical Cancer Detection
Cervical cancer is second most prevailing cancer in women all over the world and the Pap smear is one of the most popular techniques used to diagnosis cervical cancer at an early stage. Developing countries like India has to...
Published by: IGI Global