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doctoral thesis
Integrirani dijagnostički postupak za posttraumatski stresni poremećaj
Zagreb: University of Zagreb, School of Medicine, 2014. urn:nbn:hr:105:557456
Marinić, Igor
University of Zagreb
School of Medicine

Institutional repository: Dr Med - University of Zagreb School of Medicine Digital Repository

Cite this document

Marinić, I. (2014). Integrirani dijagnostički postupak za posttraumatski stresni poremećaj (Doctoral thesis). Zagreb: University of Zagreb, School of Medicine. Retrieved from https://urn.nsk.hr/urn:nbn:hr:105:557456

Marinić, Igor. "Integrirani dijagnostički postupak za posttraumatski stresni poremećaj ." Doctoral thesis, University of Zagreb, School of Medicine, 2014. https://urn.nsk.hr/urn:nbn:hr:105:557456

Marinić, Igor. "Integrirani dijagnostički postupak za posttraumatski stresni poremećaj ." Doctoral thesis, University of Zagreb, School of Medicine, 2014. https://urn.nsk.hr/urn:nbn:hr:105:557456

Marinić, I. (2014). 'Integrirani dijagnostički postupak za posttraumatski stresni poremećaj ', Doctoral thesis, University of Zagreb, School of Medicine, accessed 03 May 2024, https://urn.nsk.hr/urn:nbn:hr:105:557456

Marinić I. Integrirani dijagnostički postupak za posttraumatski stresni poremećaj [Doctoral thesis]. Zagreb: University of Zagreb, School of Medicine; 2014 [cited 2024 May 03] Available at: https://urn.nsk.hr/urn:nbn:hr:105:557456

I. Marinić, "Integrirani dijagnostički postupak za posttraumatski stresni poremećaj ", Doctoral thesis, University of Zagreb, School of Medicine, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:105:557456

Metadata
TitleIntegrirani dijagnostički postupak za posttraumatski stresni poremećaj
Title (english)Integrative diagnostic algorithm for posttraumatic stress disorder
AuthorIgor Marinić
MBZ: 267113
Mentor Dragica Kozarić-Kovačić (mentor)
Committee membernije dostupno (član povjerenstva)
GranterUniversity of Zagreb
School of Medicine
Zagreb
Defense date and country2014-09-09, Croatia
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Clinical Medical Sciences
Universal decimal classification
(UDC)		61 - Medical sciences
Abstract
Dijagnosticiranje posttraumatskog stresnog poremećaja (PTSP) je složen postupak, što se očituje u kliničkom i forenzičkom radu te istraživanjima. Zbog složenosti dijagnosticiranja PTSP-a postoji potreba za formiranjem dodatnih i sveobuhvatnijih dijagnostičkih modela. Namjera rada je bila da se primjenom postupaka inteligentne analize podataka (eng. data mining) ostvari integracija podataka vezanih uz psihijatrijske bolesnike s PTSP-om (anamnestički podaci, podaci iz psihijatrijskih i psihologijskih upitnika i obrade), da se iz tih podataka izdvoje značajne varijable i pravila te formira postupnik koji bi doprinjeo unaprijeđenju i objektivizaciji dijagnostičkog postupka. Provedenom analizom podataka izdvojene su značajne varijable i pravila koji karakteriziraju bolesnike s PTSP-om, provedena je regresijska analiza rezultata i zatim je korištenjem značajnih varijabli i pravila formiran dijagnostički postupnik za PTSP. Ovo je prvo istraživanje ovog tipa u psihijatriji, korištenjem metoda inteligentne analize, usmjereno na integraciju širokog skupa podataka i formiranje modela za dijagnosticiranje PTSP-a. Od značaja za kliničku praksu je to što su izdvojene varijable koje mogu pomoći u dijagnostičkom procesu kod bolesnika sa PTSP-om. Uz to, razvijen je sustav koji omogućuje prikupljanje velikog broja varijabli ispitanika i njihovo strukturiranje na način koji je pogodan za daljnju obradu korištenjem metoda inteligentne analize podataka, a koji može poslužiti kao osnova za izradu sličnih modela u psihijatriji.
Abstract (english)
The diagnosis of post-traumatic stress disorder (PTSD) is a complex process, which is reflected in clinical and forensic work and research. Because of the complexity of diagnosing PTSD, there is a need for additional and more comprehensive diagnostic models. The intention of this work was to use data mining methods for integration of data related to psychiatric patients with PTSD (personal history, data from psychiatric and psychological questionnaires and evaluation), to select significant variables and rules, and form an algorithm that would contribute to improvement and objectivization of diagnostic procedure. After performing the data analysis, we have extracted significant variables and rules that characterize patients with PTSD, conducted regression analysis and then formed diagnostic algorithm for PTSD. This is the first study of this type in psychiatry, using data mining methods, which is focusing on the integration of a broad set of data and formation of models for diagnosing PTSD. Of importance for clinical practice is that the variables that are found significant may help in the diagnostic process in patients with PTSD. In addition, we have developed a system that allows the collection of a large number of variables and their structuring in a way that is suitable for further processing using data mining methods, which can serve as a basis for the development of similar models for other psychiatric disorders.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:105:557456
Study programmeTitle: Biomedicine and Health Sciences
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, područje biomedicine i zdravstva (doktor/doktorica znanosti, područje biomedicine i zdravstva)
Type of resourceText
Extent188 str.
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-05-05 07:23:13