Multicriteria Analysis of Oncology Data During the Covid Pandemic

In the article a data related to the treatment of Covid-19 patients for the period 28.10.2020–23.3.2022 were investigated. Some of the patients are with oncological diseases. The studied patients were admitted to a hospital in the city of Burgas, specialized in the treatment of cancer. The data contains information about the name of the disease according to the International Statistical Classification of Diseases and Health Problems (ICD), period of the patient’s hospitalization, number of patients, medical staff by profile, etc. The method of InterCriteria Analysis was applied to study the dependencies between the parameters describing the patients and the medical staff. A self-organized neural network was developed for clustering the information related to the type of cancer.