Original title: Algoritmy pro detekci anomálií v datech z klinických studií a zdravotnických registrů
Translated title: Algorithms for anomaly detection in data from clinical trials and health registries
Authors: Bondarenko, Maxim ; Blaha, Milan (referee) ; Schwarz, Daniel (advisor)
Document type: Master’s theses
Year: 2018
Language: cze
Publisher: Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Abstract: [cze] [eng]

Keywords: clinical trials; cosine similarity; data quality; EDC systems; euclidean distance; machine learning.; mahalanobis distance; outliers; EDC systémy; euklidovská vzdálenost; klinické studie; kosinová podobnost; kvalita dat; mahalanobisová vzdálenost; outliery; strojové učení.

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/82053

Permalink: http://www.nusl.cz/ntk/nusl-378147


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Academic theses (ETDs) > Master’s theses
 Record created 2018-06-19, last modified 2022-09-04


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