The subject of this diploma thesis is exchange of medical information with International Statistical Classification of Diseases and Related Health Problems. The purpose of this work is to facilitate the classification of medical information according to the aforementioned standard. International Classification of Diseases is composed of almost 19000 entries that are uniquely defined by category and two subcategories. Health workers have usually memorized only the most frequently used categories, so they often have to find the appropriate coding for medical information. The aim of this application is to respond to keywords entered by the user with the relevant ICD entries. To this end, we have implemented a web application, that we build using the framework Angular on the client, the Java EE framework on the server and MySQL as a RDBMS. To dampen the effects of morphological dynamism of the Slovene language we used natural language processing techniques, primarily lemmatisation. Additionally, MySQL full-text search was used to help us find the appropriate classification. Implemented application allows us to determine relevant ICD entries in real time, with only a few keywords as input. Thus, we consider the implementation successful.
|
