Realizacija servisa pametnog zdravstva i njihova integracija u koncept pametnih gradova

Abstract

The development of information technologies has contributed to the emergence of the concept of a smart city, and one of the components of this concept is smart health. This component is important because smart cities directly or indirectly affect the health of residents. The main contributions of this doctoral dissertation are a proposal of a software platform that integrates existing public health services as well as new e-health services, a proposal for a uniform way of integrating heterogeneous smart health services into a smart city, and a proposal and implementation of methods for labelling terms in medical texts, based on artificial intelligence, without which part of the smart health service could not be realized in an efficient way. The above-mentioned software platform combines the smart health services that will be proposed (services for information and prevention of diseases, epidemic control, search of medical documents, automatic questionnaire processing, air pollution monitoring, labelling of medical texts, organization of screening programs, etc.). These services are created based on input data of different types (sensor data on locations, air pollution, text from documents and medical information systems and data collected by crowdsourcing, data from relational and non-relational databases), so it is necessary to integrate these heterogeneous services in uniform way. Part of the proposed e-health services is based on data processing in medical information systems as well as medical text documents in the Serbian language. Methods for normalization, labelling and classification of terms in the Serbian language are a prerequisite for the successful implementation of these services, and within this dissertation methods are proposed and implemented whose F1-score is 0.9082, which is an excellent result compared to methods for this purpose in other languages. For their implementation, it is necessary to use artificial intelligence methods, such as natural language processing, data and text mining, machine learning, etc. Some of the proposed e-health services are practically implemented and integrated into the smart city concept.