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Computer-aided data quality monitoring and assessment in clinical research
Šiška, Branislav ; Kolářová, Jana (referee) ; Schwarz, Daniel (advisor)
The diploma thesis deals with the monitoring and evaluation of data in clinical research. Usual methods to identify incorrect data are one-dimensional statistical methods per each variable in the register. Proposed method enters directly into database and finds out outliers in data using machine learning combined with multidimensional statistical methods that transform all column variables of clinical register to one, representing one record of patient in the register. Algorithm of proposed method is written in Matlab.
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Evaluation of Quality of the Construction Site
Kramárová, Annamária ; Smital, Petr (referee) ; Tichý, Zdeněk (advisor)
The objective of my Bachelors project is to design improvements for directing and quality control of build structures.Methods for quality control are described in the theory part. Methods for quality control, analysis of the norm ČSN EN IS 9001:2009, product and build structure requirements are described in the theory part. In the practical part the analysis of directives for assessment, comparison of these directives with a concrete order and suggestions for improvements can be found.
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Breathing Rate Estimation from the Photoplethysmogram
Petrík, Jakub ; Králík, Martin (referee) ; Kozumplík, Jiří (advisor)
The main topic of this bachelor thesis are methods for breathing rate estimations from photopletysmographic signals. In the theoretical part of the thesis we find a biref review of methods that are used for breathing rate estimation. These methods are than tested and their performance is evaluated on two pubilc databases BIDMC and CapnoBase. These databases also contain reference values of respiratory rate.
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Computer-aided data quality monitoring and assessment in clinical research
Šiška, Branislav ; Kolářová, Jana (referee) ; Schwarz, Daniel (advisor)
The diploma thesis deals with the monitoring and evaluation of data in clinical research. Usual methods to identify incorrect data are one-dimensional statistical methods per each variable in the register. Proposed method enters directly into database and finds out outliers in data using machine learning combined with multidimensional statistical methods that transform all column variables of clinical register to one, representing one record of patient in the register. Algorithm of proposed method is written in Matlab.
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Evaluation of Quality of the Construction Site
Kramárová, Annamária ; Smital, Petr (referee) ; Tichý, Zdeněk (advisor)
The objective of my Bachelors project is to design improvements for directing and quality control of build structures.Methods for quality control are described in the theory part. Methods for quality control, analysis of the norm ČSN EN IS 9001:2009, product and build structure requirements are described in the theory part. In the practical part the analysis of directives for assessment, comparison of these directives with a concrete order and suggestions for improvements can be found.
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