Rani probir za otkrivanje preeklampsije

master's thesis

• Title (english): Early Screening for Preeclampsia
• Author: Marina Rupe
• Mentor: Mile Šikić (mentor)
• Committee member: Mile Šikić (član povjerenstva)
• Committee member: Damir Seršić (član povjerenstva)
• Committee member: Krešimir Križanović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2019-07-04, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Preeklampsija je poremećaj koji zahvaća 2-8% trudnoća i može imati fatalne posljedice za majku i dijete. Ranim probirom za preeklampsiju može se identificirati visokorizične skupine i započeti tretman lijekovima. Najnovija istraživanja pokazuju kako se korištenjem postojećih statističkih metoda i algoritama strojnog učenja može poboljšati procjena rizika za preeklampsiju. Korištenjem modernih metoda, rizik se može procjeniti već u prvom tromjesečju trudnoće. Napravljena je web aplikacija za... More upravljanje podacima o trudnoćama pacijenata koja omogućuje procjenu rizika za preeklampsiju i generiranje nalaza. Less

Abstract (english)

Preeclampsia is a disorder which affects 2-8% of pregnancies and can have fatal consequences for both the mother and child. Early screening can identify high-risk groups so that medication can be started. Latest research has shown that using known statistical methods and machine learning algorithms can help with preeclampsia risk estimation. Using modern methods, the risk can be estimated as early as the first trimester of pregnancy. A web application for managing patient pregnancy data... More has been developed, which enables preeclampsia risk estimation and generating medical reports for that estimation. Less

• Keywords: preeklampsija; probir; trudnoća; procjena rizika; web aplikacija
• Keywords (english): preeclampsia; screening; pregnancy; risk estimation; web application
• Language: english
• URN:NBN: urn:nbn:hr:168:121825
• 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: 2020-01-07 21:54:18