A NEW APPROACH FOR ONLINE TRAINING ASSESSMENT FOR BONE MARROW HARVEST WHEN PATIENTS HAVE BONES DETERIORATED BY DISEASE

Training systems based on virtual reality have been used in several areas. In these systems users are immersed into a virtual world to have realistic training through realistic interactions. In such systems, as in any other training form, is important to know the quality of user's training. Several approaches to perform assessment in training simulators based on virtual reality have been proposed. However they did not present a satisfactory solution for special cases, as a bone marrow harvest in patients with bones deteriorated by disease. In this paper, we present a new approach to online training assessment based on Modified Naive Bayes, which can manipulate qualitative and quantitative variables simultaneously. A comparison with an assessment system based on Naive Bayes was performed and showed the new method is more accurate and faster.

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