Autors: Gancheva, V. S., Todorova V.
Title: Workflow for Medical Data Classification and Analysis
Keywords: Covid-19, data analysis, data classification, machine learni

Abstract: An approach for automated knowledge extraction and decision-making from medical images through a workflow for preprocessing of incoming X-ray images, analysis, classification and evaluation of the results is presented in this paper. The designed algorithm for analysis of medical X-rays images is based on machine learning and consists of three main phases: preprocessing of training and validation datasets, medical images classification utilizing Logistic Regression, Naive Bayes, SVM methods, evaluation of the model. A workflow was developed to process and analyze datasets of lung X-ray images containing four classes, and determine classification accuracy by examining performance evaluation parameters.



    International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2022, Turkey, DOI 10.1109/ISMSIT56059.2022.9932780

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus