Kdaj in kje: 15. oktober 2018 ob 16.00 v FAMNIT-VP2

Predavatelj: Leon KOPITAR
Leon Kopitar is a BSc graduate from bioinformatics at UP FAMNIT. He did his MSc in bioinformatics at University of Maribor, Faculty of Health Sciences.  Currently he is teaching assistant on various computer science courses at UP FAMNIT and member of the Department of Information Sciences and Technologies.

Naslov: Predictive Modeling using Structured and Unstructured Data

Povzetek:
Type 2 diabetes mellitus (T2DM) is the most common form of diabetes, especially in developed countries around the world. More and more people are getting T2DM due to an unadapted lifestyle characterized by physical inactivity and an excessive caloric intake. Although most people see T2DM as a self-evident illness that can occur in older age, many are unaware of its severity. T2DM is the main cause of stroke and heart disease. In addition, it can lead to blindness, kidney disease or ultimately to death. With age, the risk for T2DM is rising, but we can, to a large extent, influence the increase in risk through our own life choices. The main purpose of our research was to examine the impact of the most commonly repeated words from the nursing notes on the accuracy of the predictive model for predicting the survival of patients with T2DM.