Dimitar Tcharaktchiev

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Information Extraction (IE) from medical texts aims at the automatic recognition of entities and relations of interests. IE is based on shallow analysis and considers only sentences containing important words. Thus IE of drugs from discharge letters can identify as 'current' some past or future medication events. This article presents heuristic observations(More)
This article describes the automatic processing of medical texts in order to extract important patient characteristics, thus turning the free text description into a structured internal representation. Shallow text analysis is implemented due to the medical language complexity. The paper sketches the information extraction process and discusses the role of(More)
The article presents research in secondary use of information about medical entities that are automatically extracted from the free text of hospital patient records. To capture patient diagnoses, drugs, lab data and status, four extractors that analyse Bulgarian medical texts have been developed. An integrated repository, which comprises the extracted(More)
This paper presents the current solutions concerning ethical and security issues in the system EVTIMA -- an environment supporting text mining of patient records (PRs) in Bulgarian. Confidentiality and anonymisation of the analysed documents are crucial from ethical point of view and are considered as leading development principles. Here we describe in(More)
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