Информационное обеспечение клинических решений при диагностике редких заболеваний

Abstract

The emergence of software solutions capable of accumulating and processing information extracted from the case histories of patients with rare diseases helps to increase the level of physicians' awareness, helps to avoid clinical errors and optimize the organization of the patient treatment process. The present study is devoted to the development of information support for clinical solutions in the diagnosis of rare diseases on the example of benign neck tumors localized in the carotid artery (carotid chemodectomas). The composition of the components is substantiated and the requirements for the information support system for diagnosing rare diseases are deter-mined, the database of the system is designed, a version of the library for working with radiological images of a neck tumor and a dataset is developed and published, representing tools for analyzing user data about patients and classification. A data set of patients with carotid tumor and similar diseases has been formed and integrated into the library (it can be updated by adding information about new patients). Implemented such radiological im-age processing operations as applying standard transformations (Hounsfield Scale, Erosion, Dilation) and rescal-ing. The resulting software library can be used by IT researchers in the field of working with medical data, in particular, to borrow and independently refine methods for extracting medical information and recognizing radiolog-ical images of a neck tumor.