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Patient data management in hospital information system Clinicom
Jirásková, Kristýna ; Fedra, Petr (referee) ; Škutková, Helena (advisor)
Hospital information systems to store patient data and to share them. Have several advantages. Doctors are immediately accessible to history, which helps to quickly diagnose, prevent unnecessary wastage of drugs and duplicate tests. The goal of this work was to develop remote access to hospital information system CLINICOM via the Internet. The data in the information system managed by the database system Caché. From this database information was obtained using SQL queries. For the presentation of data on the Internet was designed and implemented user interface in the PHP programming language, which enables remote database management system CLINICOM.
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Methods for phylogenetic supertree reconstruction
Jirásková, Kristýna ; Provazník, Ivo (referee) ; Škutková, Helena (advisor)
The phylogenetic reconstruction has noted great development in recent decades. The development of computers and device for sequencing biopolymers have been an enormous amount od phylogenetic data from different sources and different types. The scientists are trying to reconstruct a comlet tree of life from these data. The phylogenetic supertree are theoretically this option because a supertree alow a combination of all information gathered so far – in contras to the phylogenetic trees. This thesis present the method of reconstruction supertrees using average konsensus method.
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Big Data and Personal Data Protection in the Age of Surveillance Capitalism
Jirásková, Kristýna ; Slavíček, Daniel (advisor) ; Gvoždiak, Vít (referee)
The diploma thesis deals with the topic of personal data protection in the age of surveillance capitalism, relying on the General Data Protection Regulation or GDPR. It presents, first of all, what can be imagined by the term Big Data, since the protection of personal data consists in the constant collection of all data, among which there are personal data. In the context of this issue, the various risks of data collection and processing will be discussed. Then, attention is given to surveillance capitalism, i.e. not only the definition, but also what it consists of and what pitfalls come with it. Above all, this paper seeks to answer the question of what role the GDPR currently plays in relation to data protection, i.e. whether it is successful or not, which of course cannot be done without a more detailed analysis of this legal document. To this end, the thesis will focus on selected examples from practice that should help to answer the question posed. Key words Surveillance Studies, surveillance, Big Data, surveillance capitalism, GDPR, protection of personal data, social media
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Patient data management in hospital information system Clinicom
Jirásková, Kristýna ; Fedra, Petr (referee) ; Škutková, Helena (advisor)
Hospital information systems to store patient data and to share them. Have several advantages. Doctors are immediately accessible to history, which helps to quickly diagnose, prevent unnecessary wastage of drugs and duplicate tests. The goal of this work was to develop remote access to hospital information system CLINICOM via the Internet. The data in the information system managed by the database system Caché. From this database information was obtained using SQL queries. For the presentation of data on the Internet was designed and implemented user interface in the PHP programming language, which enables remote database management system CLINICOM.
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Methods for phylogenetic supertree reconstruction
Jirásková, Kristýna ; Provazník, Ivo (referee) ; Škutková, Helena (advisor)
The phylogenetic reconstruction has noted great development in recent decades. The development of computers and device for sequencing biopolymers have been an enormous amount od phylogenetic data from different sources and different types. The scientists are trying to reconstruct a comlet tree of life from these data. The phylogenetic supertree are theoretically this option because a supertree alow a combination of all information gathered so far – in contras to the phylogenetic trees. This thesis present the method of reconstruction supertrees using average konsensus method.
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