Privatnost podataka u sustavima e-zdravstva

master's thesis

• Title (english): Data Privacy in e-Health Systems
• Author: Vedrana Briševac
• Mentor: Saša Dešić (mentor)
• Committee member: Saša Dešić (predsjednik povjerenstva)
• Committee member: Gordan Ježić (član povjerenstva)
• Committee member: Lea Skorin-Kapov (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2016-07-18, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U ovom radu dan je pregled modela privatnosti podataka i alata za anonimizaciju, te su uz pomoć odabranih modela k-anonimnosti i l-raznovrsnosti te alata ANON izvršene anonimizacije nad testnim podacima o pacijentima koje je pružila tvrtka Ericsson Nikola Tesla. Anonimizirani setovi podataka namjenjeni su analizi distribucije psihoaktivnih lijekova i analizi udjela nepotrebnih specijalističkih pregleda.

Abstract (english)

This work gives an overview of different privacy models and anonymization tools. By using models k-anonymity and l-diversity and tool ANON, anonymization was preformed on patient test data provided by Ericsson Nikola Tesla. Anonymized datasets are intended for analysis of psychoactive drug distribution and analysis of amount of unnecessary specialistic procedures.

• Keywords: anonimizacija; zdravstvo; privatnost podataka; k-anonimnost; l-raznovrsnost
• Keywords (english): data anonymization; healthcare; data privacy; k-anonymity; l-diversity
• Language: croatian
• URN:NBN: urn:nbn:hr:168:461282
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2018-02-06 08:02:52