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Methods for determination of tumor markers in the blood plasma and their clinical significance in diagnosing
Toman, Karel ; Márová, Ivana (referee) ; Čáslavský, Josef (advisor)
The thesis discusses the methods of determination of tumor markers and their clinical importance in medical diagnostics. The theoretical part describes clinically important tumor markers and also the chemiluminescent immunoassay methods used for their determination. The practical part of the thesis describes the introduction of new chemiluminescent methods for the determination of tumor markers in routine operation, evaluates its basic analytical parameters and compares it with the existing immunoturbidimetric method. The practical part also presents results of monitoring of cancer patients with various tumors, which is performed by evaluation of the values of tumor markers. Comparison of our method with other methods within the context of System of external quality control is also documented.
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Bankruptcy Prediction Modelling in Construction Business
Srbová, Pavla ; Kuběnka,, Michal (referee) ; Karas, Michal (advisor)
The diploma thesis is aimed at creating a bankruptcy model for companies of the construction industry in the Czech Republic by using discriminant analysis. In the theoretical part, the concept of bankruptcy model is defined; this part is focused on the inclusion of bankruptcy models in economics, a look into their history, a description of selected models and a brief characteristic of the construction industry. In the practical part, the reliability of selected bankruptcy models is counted and a new bankruptcy model is built.
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The current effectivness of bankruptcy prediction models in the conditions of Central and Eastern Europe
Honzíček, Štěpán ; Kuběnka,, Michal (referee) ; Karas, Michal (advisor)
Bachelor’s thesis describes issues of bankruptcy risk. It fleshes out key concepts related to bankrupt, introduces financial analysis like a instrument of evaluation enterprise financial situation and specifically deals with prediction bankruptcy models. Metodology of model construction is introduced and ROC curves as an efficiency testing method. Case study makes evaluation of accuracy for five chosen models in sector small and medium enterprises manufacturing industry of central and eastern Europe. Concluding part narrates possibility modification of models for accuracy increase.
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Masked face recognition
Kašpar, Jan ; Kříž, Petr (referee) ; Přinosil, Jiří (advisor)
This bachelor thesis focuses on the recognition of people with covered faces. The work describes four algorithms InsightFace, FaceNet, OpenFace, and face recognition. From these algorithms, the most suitable for recognizing people with a covered face is selected. Two databases of persons are created, and two models for the recognition of persons are trained; one is for the recognition of persons with a covered face and the other for non-covered persons. ROC curves are created for these models to determine the accuracy of the models. The created program is used to recognize people or to add them to the database created by SQLite.
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The current effectivness of bankruptcy prediction models in the conditions of Central and Eastern Europe
Honzíček, Štěpán ; Kuběnka,, Michal (referee) ; Karas, Michal (advisor)
Bachelor’s thesis describes issues of bankruptcy risk. It fleshes out key concepts related to bankrupt, introduces financial analysis like a instrument of evaluation enterprise financial situation and specifically deals with prediction bankruptcy models. Metodology of model construction is introduced and ROC curves as an efficiency testing method. Case study makes evaluation of accuracy for five chosen models in sector small and medium enterprises manufacturing industry of central and eastern Europe. Concluding part narrates possibility modification of models for accuracy increase.
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Masked face recognition
Kašpar, Jan ; Kříž, Petr (referee) ; Přinosil, Jiří (advisor)
This bachelor thesis focuses on the recognition of people with covered faces. The work describes four algorithms InsightFace, FaceNet, OpenFace, and face recognition. From these algorithms, the most suitable for recognizing people with a covered face is selected. Two databases of persons are created, and two models for the recognition of persons are trained; one is for the recognition of persons with a covered face and the other for non-covered persons. ROC curves are created for these models to determine the accuracy of the models. The created program is used to recognize people or to add them to the database created by SQLite.
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Bankruptcy prediction models in the Czech economy: New specification using Bayesian model averaging and logistic regression on the latest data
Kolísko, Jiří ; Princ, Michael (advisor) ; Červinka, Michal (referee)
The main objective of our research was to develop a new bankruptcy prediction model for the Czech economy. For that purpose we used the logistic regression and 150,000 financial statements collected for the 2002-2016 period. We defined 41 explanatory variables (25 financial ratios and 16 dummy variables) and used Bayesian model averaging to select the best set of explanatory variables. The resulting model has been estimated for three prediction horizons: one, two, and three years before bankruptcy, so that we could assess the changes in the importance of explanatory variables and models' prediction accuracy. To deal with high skew in our dataset due to small number of bankrupt firms, we applied over- and under- sampling methods on the train sample (80% of data). These methods proved to enhance our classifier's accuracy for all specifications and periods. The accuracy of our models has been evaluated by Receiver operating characteristics curves, Sensitivity-Specificity curves, and Precision-Recall curves. In comparison with models examined on similar data, our model performed very well. In addition, we have selected the most powerful predictors for short- and long-term horizons, which is potentially of high relevance for practice. JEL Classification C11, C51, C53, G33, M21 Keywords Bankruptcy...
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Bankruptcy Prediction Modelling in Construction Business
Srbová, Pavla ; Kuběnka,, Michal (referee) ; Karas, Michal (advisor)
The diploma thesis is aimed at creating a bankruptcy model for companies of the construction industry in the Czech Republic by using discriminant analysis. In the theoretical part, the concept of bankruptcy model is defined; this part is focused on the inclusion of bankruptcy models in economics, a look into their history, a description of selected models and a brief characteristic of the construction industry. In the practical part, the reliability of selected bankruptcy models is counted and a new bankruptcy model is built.
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Methods for determination of tumor markers in the blood plasma and their clinical significance in diagnosing
Toman, Karel ; Márová, Ivana (referee) ; Čáslavský, Josef (advisor)
The thesis discusses the methods of determination of tumor markers and their clinical importance in medical diagnostics. The theoretical part describes clinically important tumor markers and also the chemiluminescent immunoassay methods used for their determination. The practical part of the thesis describes the introduction of new chemiluminescent methods for the determination of tumor markers in routine operation, evaluates its basic analytical parameters and compares it with the existing immunoturbidimetric method. The practical part also presents results of monitoring of cancer patients with various tumors, which is performed by evaluation of the values of tumor markers. Comparison of our method with other methods within the context of System of external quality control is also documented.
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