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Background: The rapid growth in the volume of medical data, the extensive possibilities of information technology, the transfer of medical document flow to electronic format generates a high demand for the introduction of information and reference assistance tools and clinical decision support systems (CDSS). Work on the creation of CDSS currently combines the expert activities of doctors with the work of information technology specialists, mathematical statisticians, data scientists, knowledge engineers. Most of the developments involving the formation of knowledge bases are created in isolation, without the use of universal approaches that allow combining various solutions. At the heart of any medical knowledge base (MKB) there is a thesaurus, which is a systematized dictionary of terms that helps to standardize terminology, which makes it possible to speed up the search and exchange of information. It includes concept terms and relationships between them, as well as synonyms and various attributes. Aims — creation of a national medical metathesaurus, built on the ontological principle and the development of MKB based on it. Methods. International systematized dictionary of medical terms UMLS (Unified Medical Language System); clinical recommendations for 22 groups of nosologies; reference books of the federal portal of normative reference information of the Ministry of Health of the Russian Federation; electronic medical records – 330 thousand (dataset MIMIC-IV); abstracts of PubMed publications-28 million. Semantic analyzers SemRep (Semantic Repository) and MetaMap were used; methods for evaluating lexical similarity, connectivity, contextual combinability of entities in a subgraph, and mathematical statistics. Results. The first version of the Unified National Medical Nomenclature (UNMN) has been created. It is proved that ontological models are an effective way of presenting structured information. Components of information search engines have been created. Analytical tools for working with metathesaurus have been developed. Conclusions. On the basis of the UNMN and the created tools, it is possible to automate the formation of a clinical picture of the disease (knowledge base) and single-platform development of the CDSS.
Background: The rapid growth in the volume of medical data, the extensive possibilities of information technology, the transfer of medical document flow to electronic format generates a high demand for the introduction of information and reference assistance tools and clinical decision support systems (CDSS). Work on the creation of CDSS currently combines the expert activities of doctors with the work of information technology specialists, mathematical statisticians, data scientists, knowledge engineers. Most of the developments involving the formation of knowledge bases are created in isolation, without the use of universal approaches that allow combining various solutions. At the heart of any medical knowledge base (MKB) there is a thesaurus, which is a systematized dictionary of terms that helps to standardize terminology, which makes it possible to speed up the search and exchange of information. It includes concept terms and relationships between them, as well as synonyms and various attributes. Aims — creation of a national medical metathesaurus, built on the ontological principle and the development of MKB based on it. Methods. International systematized dictionary of medical terms UMLS (Unified Medical Language System); clinical recommendations for 22 groups of nosologies; reference books of the federal portal of normative reference information of the Ministry of Health of the Russian Federation; electronic medical records – 330 thousand (dataset MIMIC-IV); abstracts of PubMed publications-28 million. Semantic analyzers SemRep (Semantic Repository) and MetaMap were used; methods for evaluating lexical similarity, connectivity, contextual combinability of entities in a subgraph, and mathematical statistics. Results. The first version of the Unified National Medical Nomenclature (UNMN) has been created. It is proved that ontological models are an effective way of presenting structured information. Components of information search engines have been created. Analytical tools for working with metathesaurus have been developed. Conclusions. On the basis of the UNMN and the created tools, it is possible to automate the formation of a clinical picture of the disease (knowledge base) and single-platform development of the CDSS.
Разработка средств информационной поддержки принятия клинических решений (ППКР) является актуальной задачей медицинской информатики. Довольно часто в системах ППКР используются информационно/̄поисковые алгоритмы, важным этапом проектирования которых служит создание средств автоматического распознавания этиопатогенетического образа заболеваний при работе с неструктурированным текстом. В настоящей статье произведены обзор и сравнительная характеристика аналитических метрик, применимых для построения образа концептов метатезауруса Unified Medical Language System (UMLS), представленного в виде графовой информационной модели. Предложен собственный вариант графовой метрики, показавший наибольшую эффективность при решении данной задачи.
Introduction. The paper has developed a new scheme of a multimodal logistics system for grain transportation for export to Iran using links and graphs. It is proposed to consider the functioning of road transport in a multimodal logistics system for grain export from the standpoint of a systematic approach at the micro, meso and macro levels based on the newly introduced concept of transport capacity of the simulated graph. To determine the optimal modes of road transport functioning (with the further aim of increasing its efficiency of functioning) in the logistics links of export grain supplies at the micro level, it is proposed to perform using the ‘Sowing fields – regional barn-floors’ graph, at the meso level – the ‘Regional barn-floors – regional grain storages’ graph, at the macro level – the ‘Regional grain storages – port grain storages’ graph. Graphs modelling, determining the transport capacity of vertices, fixing vertices for barn-floors, regional grain storages and port grain storages make it possible for agro–industrial enterprises to plan the volume of grain exports, to use their acreage rationally considering crop yields while fulfilling an important condition - ensuring food security for the population of the Russian Federation. Road transport planning at the micro level is directly linked to the operation of agricultural enterprises, and at the meso level to grain storages. At the macro level, road transport serves the three largest port grain receiving points of the Volgograd region. Multimodal transportation of grain from a specific farm in the region to the port of Enzeli in Iran has been organized using road transport and VOLGO-BALT 239 river-sea vessel.Materials and methods. The paper uses methods of statistical analysis of winter wheat supplies for export to Iran from the Volgograd region. At the micro level, graphoanalytic methods are used to model the location schemes of filling bunkers when working in a team of one, three or nine combines, indicating their number of appearance on the field in the xOy coordinate plane. The methods of system analysis were used to correctly divide the international multimodal logistics system for the transportation of export grain into micro, meso and macro levels with the definition of the place and role of transport. Methods of solving the linear programming problem are the optimization of the assignment of consumers to suppliers at all levels under consideration.Results. It is revealed that complex international multimodal logistics systems for the delivery of export grain must be considered using a systematic approach. It is proposed to consider the system at the micro, meso and macro levels. At each of the levels, it is necessary to plan the operation of transport based on calculations of the ‘transport capacity’ of the ‘Sowing fields – regional barn-floors’, ‘Regional barn-floors – regional grain storages’, ‘Regional grain storages – port grain storages’ graph nodes. OOO Progress, the agro-enterprise of the Volgograd region, has been given the opportunity to plan its work taking into account new information technologies that ensure higher efficiency of agricultural activities in the cultivation of winter wheat with partial sale for export to Iran.Discussion and conclusions. The improvement of the organisation of road transport functioning in the international multimodal logistics system of grain export supplies cannot exist without the use of precision farming technologies in harvesting and transport processes. The use of the right logistics technologies in road transport and in the organisation of winter wheat cultivation has a great impact on the final cost of grain and on the guaranteed food security of the Russian Federation. Research in this direction is currently relevant.
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