Predicting the value of sperm analysis using an electronic nose

Abstract

Total motile sperm count and DNA fragmentation Index are two parameters in sperm analysis that have recently been used to determine the outcome of the management of cases of male infertility. Total Motile Sperm Count is one of the values considered better than the 2010 World Health Organization standard sperm analysis in terms of predictive value for the success of the spontaneous ongoing pregnancy rate. High DNA Fragmentation Index values were associated with lower pregnancy success and an increased risk of low fertilization rate or total fertilization failure. In this study, we developed a method to classify sperm analysis based on total motility sperm count and DNA Fragmentation Index values by using an electronic nose. In the total motility sperm count (TMSC) study, we use four algorithms with the result of accuracy values 95% and in the DNA fragmentation Index study, we get a fairly good accuracy value for two algorithms with the accuracy values 70%.

Identification of chronic obstructive pulmonary disease using graph convolutional network in electronic nose

“…The RF algorithm is often combined with the electronic nose method with satisfactory results [23], [24]. With bagging systems, RF combines multiple decision trees to build respective outputs and draw conclusions through majority voting [25].…”