About: Information System for Predictive Evaluation of Cancer Epidemiology and the Number of Cancer Patients in the Czech Republic

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The Czech Society for Oncology has developed an information system which employs data from population records, the clinical registries, and data provided by an expert panel to predict the number of cancer patients who would be probably treated in the years to come. This chapter summarises the analyses of available population-based data for the Czech Republic, which has been done with the aim to estimate the incidence and prevalence rates of patients with selected cancer diagnoses in the year 2009. The predictions of epidemiological benchmarks have been adjusted using survival probability models, making it possible to estimate, quite reliably, the number of cancer patients who would probably undergo a specific stage of anticancer treatment in a given year. These estimates have been rendered with respect to the patients age, the stage of malignant disease, and to the changing demographic parameters of the Czech population. The Czech Society for Oncology has developed an information system which employs data from population records, the clinical registries, and data provided by an expert panel to predict the number of cancer patients who would be probably treated in the years to come. This chapter summarises the analyses of available population-based data for the Czech Republic, which has been done with the aim to estimate the incidence and prevalence rates of patients with selected cancer diagnoses in the year 2009. The predictions of epidemiological benchmarks have been adjusted using survival probability models, making it possible to estimate, quite reliably, the number of cancer patients who would probably undergo a specific stage of anticancer treatment in a given year. These estimates have been rendered with respect to the patients age, the stage of malignant disease, and to the changing demographic parameters of the Czech population. (en)
Title	Information System for Predictive Evaluation of Cancer Epidemiology and the Number of Cancer Patients in the Czech Republic Information System for Predictive Evaluation of Cancer Epidemiology and the Number of Cancer Patients in the Czech Republic (en)
skos:prefLabel	Information System for Predictive Evaluation of Cancer Epidemiology and the Number of Cancer Patients in the Czech Republic Information System for Predictive Evaluation of Cancer Epidemiology and the Number of Cancer Patients in the Czech Republic (en)
skos:notation	RIV/00216224:14110/09:00040103!RIV11-MZ0-14110___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(NS10621)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Pavlík, Tomáš Koptíková, Jana Májek, Ondřej Mužík, Jan Gelnarová, Eva Dušek, Ladislav Fínek, Jindřich Vyzula, Rostislav
http://linked.open.../riv/druhVysledku	C - Kapitola v knize
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Masarykova univerzita / Lékařská fakulta
http://linked.open...dnocenehoVysledku	319502
http://linked.open...ai/riv/idVysledku	RIV/00216224:14110/09:00040103
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	cancer; epidemiology; information system; prediction (en)
http://linked.open.../riv/klicoveSlovo	cancer epidemiology information system prediction
http://linked.open...ontrolniKodProRIV	[7538B6BB2905]
http://linked.open...i/riv/mistoVydani	Praha
http://linked.open...vEdiceCisloSvazku	3888
http://linked.open...i/riv/nazevZdroje	Czech Cancer Care in Numbers 2008–2009
http://linked.open...in/vavai/riv/obor	FD
http://linked.open...ichTvurcuVysledku	8 (xsd:int)
http://linked.open...v/pocetStranKnihy	496 (xsd:int)
http://linked.open...cetTvurcuVysledku	8 (xsd:int)
http://linked.open...vavai/riv/projekt	Optimalization of Clinical Information Acquisition from Medical Registries
http://linked.open...UplatneniVysledku	2009
http://linked.open...iv/tvurceVysledku	Dušek, Ladislav Koptíková, Jana Májek, Ondřej Pavlík, Tomáš Mužík, Jan Fínek, Jindřich Vyzula, Rostislav Gelnarová, Eva
number of pages	19 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Grada Publishing, a.s.
https://schema.org/isbn	978-80-247-3244-2
http://localhost/t...ganizacniJednotka	14110

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