Fusion of Online Assessment Methods for Gynecological Examination Training: a Feasibility Study

Elaine Anita De Melo Gomes Soares,Ronei Marcos Moraes

doi:10.5540/tema.2018.019.03.423

Elaine Anita De Melo Gomes Soares, Ronei Marcos Moraes

Open Access

https://doi.org/10.5540/tema.2018.019.03.423

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Abstract

The objective of this paper was to determine if a fusion of online assessment methods is a feasible methodology for online assessment of performance of users inside virtual reality simulators. Three different forms of the Fuzzy Naive Bayes method based on statistical distributions were used to assess specific tasks and the fusion of information was performed by a Weighted Majority Voting system. Data was compiled representing a portion of the Gynecological Exam, which is a checkup examination that is routinely performed for women and is paramount in finding earlier cases of cervical cancer. Confusion matrices and Kappa coefficients were obtained using a Monte Carlo simulation for this method. From the analysis of these results, it is possible to confirm that this method performed well, with a substantial agreement degree.

Highlights

It is well known that the more a given task is performed, the more practicality and expertise will be achieved
Using the methodology described in the previous section, confusion matrices and Kappa coefficients were obtained for the performance of each method independently and for the fusion
The Fuzzy Binomial Naive Bayes (FBinNB) method presented Kappa coefficient of 76.65% with variance 1.87 × 10−3 and the Fuzzy Exponential Naive Bayes (FExpNB) method resulted on Kappa of 57.27% with variance 2.81 × 10−3

Summary

Introduction

It is well known that the more a given task is performed, the more practicality and expertise will be achieved. The most popular method for training is the use of guinea pigs, corpses and mannequins, but these have limitations such as wear of the material over time and lack of representation of the real characteristics of a human being. Another method used in medical-schools is allowing students to practice with real cases under the supervision of a physician, which limits their training to simple often-occurring cases, causing sometimes discomfort to the patient [17]. It has been proven that surgeons trained in virtual reality systems can obtain better results when compared to those trained by traditional methods [10]

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