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Analysis of patient adherence to treatment by DOAC I
Rezáková, Katarína ; Malý, Josef (advisor) ; Smejkalová, Lenka (referee)
Analysis of patient adherence to treatment by DOAC I Author: Katarína Rezáková Tutor: doc. PharmDr. Josef Malý, Ph.D. Consultant: PharmDr. Kateřina Malá, Ph.D. Department of Social and Clinical Pharmacy, Faculty of Pharmacy in Hradec Králové, Charles University Introduction and aims: Atrial fibrillation (AF) is the most common supraventricular tachyarrhythmia associated with increased morbidity and mortality. In clinical practice, direct oral anticoagulants (DOAC) are used as an alternative to warfarin to prevent thromboembolic events in patients with AF. The study aimed to analyse the statements of patients with FiP along with data from medical records focusing on aspects related to the use and management of DOAC, including devices and tools to improve adherence to treatment, patients' level of awareness of DOAC and other therapeutic agents used. Methods: The prospective study was conducted from 2020 to 2022 at the University Hospital Brno. Patients aged ≥ 18 years with AF on DOAC therapy (dabigatran, rivaroxaban and apixaban) were included in the study. Data about pharmacotherapy and patients' health status were obtained from medical records and structured interview with the patient. Patients' interviews were performed at time 0, three and six months after patient has entred the study....
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Typical Usage Patterns of English Verbs
Smejkalová, Lenka ; Holub, Martin (advisor) ; Lopatková, Markéta (referee)
Corpus Pattern Analysis (CPA) is a corpus-based method that explores typical usage patterns of verbs in a text corpus, and describes meaning of verbs by means of contextual preferences defined both syntactically and semantically [1]. CPA in conjuction with the British National Corpus (BNC) is currently used to create The Pattern Dictionary of English Verbs (PDEV) [1, 2]. The thesis describes the current status of the PDEV, presents a thorough analysis of available data on typical usage patterns and explores possible applications of the PDEV for automatic lexical analysis. In this thesis procedures usable in further PDEV development have been designed and implemented. The first of them automatically extracts arguments of verbs from an output of English syntactic analysis. The second one uses the extracted arguments to create lists of lexical units that realize semantic types. The last procedure uses these lists to automatically recognize typical usage patterns of verbs. The thesis also evaluates inter-annotator agreement, automatic extraction of verb arguments in/from English sentence, and effectiveness of the proposed procedures in the extraction of lexical units that realize semantic types and in automatic recognition of typical usage patterns.
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Medical cannabis at the pharmacy
Černý, Ondřej ; Kostřiba, Jan (advisor) ; Smejkalová, Lenka (referee)
Charles University Faculty of Pharmacy in Hradec Králové Department of Social and Clinical Pharmacy Candidate: Mgr. Ondřej Černý Supervisor: PharmDr. Jan Kostřiba, Ph.D. Title of thesis: Medical cannabis at the pharmacy Key words: cannabinoids, individual preparation, medical cannabis in the Czech Republic This rigorous thesis is focused on the medical cannabis (MC). The aim of the thesis was first to familiarise the reader with the description of the substances contained in the herbal cannabis and its effects on the human body. Furthermore, state the current position of MC in the Czech Republic. The aim of the experimental part was to present aspects of the implementation of MC treatment at the pharmacy based on the interpretation of legislation. Furthermore, to statistically evaluate the development of this treatment within the hospital pharmacy in České Budějovice. Records of MC dispensed from the register book of addictive substances from 2019 to 2020 were used as a basis for this statistical analysis. The aim was also to evaluate the development of MC treatment throughout the Czech Republic. The data used in this thesis were published on the websites of the State Agency for Medical Cannabis (SAKL) and the State Institute for Drug Control (SÚKL) from 2015 to 2020. The results of the thesis...
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Typical Usage Patterns of English Verbs
Smejkalová, Lenka ; Holub, Martin (advisor) ; Lopatková, Markéta (referee)
Corpus Pattern Analysis (CPA) is a corpus-based method that explores typical usage patterns of verbs in a text corpus, and describes meaning of verbs by means of contextual preferences defined both syntactically and semantically [1]. CPA in conjuction with the British National Corpus (BNC) is currently used to create The Pattern Dictionary of English Verbs (PDEV) [1, 2]. The thesis describes the current status of the PDEV, presents a thorough analysis of available data on typical usage patterns and explores possible applications of the PDEV for automatic lexical analysis. In this thesis procedures usable in further PDEV development have been designed and implemented. The first of them automatically extracts arguments of verbs from an output of English syntactic analysis. The second one uses the extracted arguments to create lists of lexical units that realize semantic types. The last procedure uses these lists to automatically recognize typical usage patterns of verbs. The thesis also evaluates inter-annotator agreement, automatic extraction of verb arguments in/from English sentence, and effectiveness of the proposed procedures in the extraction of lexical units that realize semantic types and in automatic recognition of typical usage patterns.
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Document similarity visualization
Smejkalová, Lenka ; Schlesinger, Pavel (referee) ; Pecina, Pavel (advisor)
In the present work we study visual comparision of texts, especially by nding similarity in text documents by dotplot technique. An algorithm for this type of comparison was implemented and graphic user interface was made to allow user to work interactively. Also, command-line version of the application was created to allow batch processing of multiple documents. Instructions to use these programs are written in user documentation whichis added to this work in Appendix A. Further we study which patterns could grow up in dotplot and what these patterns predicate about documents. It is possible to nd self-similarity in one documents or similarity in two di fferent documents.
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