Authors Article type: Original Scientific Paper Abstract: One of the challenges in medical data classification is determining the sufficient training dataset size. This research shows the effect of training dataset size on various artificial neural network (ANN) configurations. All ANNs were trained and tested using the Wisconsin Breast Cancer (Diagnostic) Dataset, which contains 569 samples. The dataset was divided into a training set of 410 samples and a test set of 159 samples. The training procedure for all ANNs was performed with datasets ranging from 10 to 410 samples. Performances of all ANNs were evaluated using ROC analysis. The results…
World of Health 3
Authors Article type: Review Abstract: Today, more than ever, various portals, magazines, and other media talk and write about respiration, breathing, and lung diseases due to the novel coronavirus disease-2019 (COVID-19), which has attracted a lot of public attention. With the outbreak of the pandemic caused by the COVID-19 virus, it has become truly necessary to discuss and take lung health and disease, as well as our personal responsibility for them, more seriously. Breathing exercises have already been recognized through various activities as an essential factor in maintaining health. Regarding lung diseases, people with lung problems have the most extensive…
Authors Article type: Original Scientific Paper Abstract: Sepsis is the most severe consequence of bacterial infections, in other words, a potentially life-threatening condition. During infection, some components of the innate immune response can, under certain circumstances, cause multiple organ dysfunction and tissue damage. Fortunately, timely treatment can prevent the consequences. The algorithms used to solve the problem of predicting sepsis occurrence are Support-Vector Machine (SVM), K-Nearest Neighbors (KNN), and Artificial Neural Network (ANN). The dataset used for this research consists of 23 different medical parameters for each patient, which is a total of 2277 data points. For each of the…