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Breast cancer cell population. Its usage for setting of optimal therapeutical regimen. Predictive model.
Kolařík, Dušan ; Halaška, Michael (advisor) ; Kofránek, Jiří (referee) ; Dundr, Pavel (referee)
1 ABSTRACT Background Breast cancer cell population characteristics are used in common clinical practice for estimation of prognosis of the malignant disease (prognostic factors) and for prediction of reactivity of the tumor to certain therapeutic modality (predictive factors). Also axillary lymph node status is an independent prognostic factor in women with early breast cancer. Therefore, surgical excision and following histopathological examination of the nodes is the obligatory part of primary breast cancer surgery. The extension of axillary surgery varies widely, although sentinel lymph node biopsy is considered to be the standard procedure. However, it must be admitted that this type of procedure need not be optimal for all the breast cancer patients. Aims of the study The aim of this study is the verify the hypothesis whether or not the axillary lymph node metastatic affection can be effectively estimated using non-surgical methods - i.e. by evaluation of the combination of prognostic and predictive factors of the primary breast tumor. Statistical model composed on the basis of data of early breast cancer patients is the basic tool for this prediction. Application of this model In everyday practice can enable to adjust the extent of axillary surgery for each individual patient. Patients and methods A...
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Human-computer interaction - cooperation of human and computer
Nápravníková, Hana ; Vacura, Miroslav (advisor) ; Sigmund, Tomáš (referee)
The work is devoted to Human-computer interaction and its main goal is to get closer to the field. The first part describes two main areas, namely Cognitive Science and Cogni-tive Psychology, from which HCI is based on. The second part deals specifically with Human-computer interaction, the history of the origins, aspects of human factor, ele-ments of interaction and modeling of interaction together with examples from everyday life.
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Breast cancer cell population. Its usage for setting of optimal therapeutical regimen. Predictive model.
Kolařík, Dušan ; Halaška, Michael (advisor) ; Kofránek, Jiří (referee) ; Dundr, Pavel (referee)
1 ABSTRACT Background Breast cancer cell population characteristics are used in common clinical practice for estimation of prognosis of the malignant disease (prognostic factors) and for prediction of reactivity of the tumor to certain therapeutic modality (predictive factors). Also axillary lymph node status is an independent prognostic factor in women with early breast cancer. Therefore, surgical excision and following histopathological examination of the nodes is the obligatory part of primary breast cancer surgery. The extension of axillary surgery varies widely, although sentinel lymph node biopsy is considered to be the standard procedure. However, it must be admitted that this type of procedure need not be optimal for all the breast cancer patients. Aims of the study The aim of this study is the verify the hypothesis whether or not the axillary lymph node metastatic affection can be effectively estimated using non-surgical methods - i.e. by evaluation of the combination of prognostic and predictive factors of the primary breast tumor. Statistical model composed on the basis of data of early breast cancer patients is the basic tool for this prediction. Application of this model In everyday practice can enable to adjust the extent of axillary surgery for each individual patient. Patients and methods A...
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Predictive Analytics - Process and Development of Predictive Models
Praus, Ondřej ; Pour, Jan (advisor) ; Mrázek, Luboš (referee)
This master's degree thesis focuses on predictive analytics. This type of analysis uses historical data and predictive models to predict future phenomenon. The main goal of this thesis is to describe predictive analytics and its process from theoretical as well as practical point of view. Secondary goal is to implement project of predictive analytics in an important insurance company operating in the Czech market and to improve the current state of detection of fraudulent insurance claims. Thesis is divided into theoretical and practical part. The process of predictive analytics and selected types of predictive models are described in the theoretical part of the thesis. Practical part describes the implementation of predictive analytics in a company. First described are techniques of data organization used in datamart development. Predictive models are then implemented based on the data from the prepared datamart. Thesis includes examples and problems with their solutions. The main contribution of this thesis is the detailed description of the project implementation. The field of the predictive analytics is better understandable thanks to the level of detail. Another contribution of successfully implemented predictive analytics is the improvement of the detection of fraudulent insurance claims.
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Mladá Boleslav in early medieval period and its hinterland
KRAUS, Miroslav
The first aim of this thesis is to map and summarize current archaeological knowledge of early medieval settlement in direct neighborhood of early medieval strongholds Mladá Boleslav and Švédské šance (cadastral Chloumek). This neighborhood is specified arbitrary more or less in distance of 5km from Mladá Boleslav. The second aim is to process spatial data of settlement in GIS programs and create predictive models. These models are valorized, criticized and interpreted by assistance of existing evidences of early medieval central places' hinterlands then. In next step possible form and development of hinterland is outlined.In the context of this thesis was made ground survey by analytical field working at site of Švédské šance. Ceramic material from this survey is evaluated by spatial data, categorized by chronology of czech early medieval and compared to donated ceramic set.
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Aplikace Business Intelligence v telekomunikačním sektoru
Višňová, Marika ; Novotný, Ota (advisor) ; Slánský, David (referee)
Čtenář bakalářské práce z kontextu pochopí logickou souvztažnost mezi děním na trhu telekomunikačního sektoru a potřebou orientace společnosti na zákazníka a tím i na Churn management. V práci jsou popsány principy a komponenty Business Intelligence a dolování dat, které tvoří technologický základ Churn managementu. V poslední kapitole, která je věnována samotnému Churn managementu, je ukázáno jak probíhá vytvoření prediktivního modelu dle metodiky CRISP-DM, což by mělo alespoň zprostředkovaně přiblížit Churn management v praxi.
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