Dimitar Tcharaktchiev

  • Citations Per Year
Learn More
Severe hypoglycemia (SH) can be a significant problem for patients around the world with Type 1 Diabetes Mellitus (T1DM). To avoid SH, patients need to better manage, and reduce the occurrence of, preceding mild hypoglycemia. Hypoglycemia Anticipation, Awareness and Treatment Training (HAATT), developed in the United States specifically to address such(More)
The presented paper discusses a hybrid approach for negation processing in Electronic Health Records (EHRs) in Bulgarian. The rich temporal structure and the specific combination of medical terminology in both Bulgarian and Latin do not allow the application of standard language processing techniques. The problem gets even worse due to the often use of(More)
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)
OBJECTIVE We described biochemical outcome in regards to different treatment modalities in patients with acromegaly in Bulgaria. PATIENTS AND METHODS It was a retrospective analysis using data from the Bulgarian Acromegaly Database. Patients with eligible data on at least one treatment modality were included in the study. Disease control was assessed by(More)
The paper discusses an Information Extraction approach, which is applied for the automatic processing of hospital Patient Records (PRs) in Bulgarian language. The main task reported here is retrieval of status descriptions related to anatomical organs. Due to the specific telegraphic PR style, the approach is focused on shallow analysis. Missing text(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)
BACKGROUND The potent immunomodulatory action of prolactin has been demonstrated in many experimental in vitro studies. In accordance with these data, our retrospective analyses revealed higher prevalence of autoimmune thyroid diseases in prolactinoma patients compared to general population. PURPOSE A cross-sectional case-control study was carried out in(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)