My name is Rebecka Weegar and I am a PhD student in the Clinical Text Mining Group at the Department of Computer and System Sciences at Stockholm University.
My area is text mining, and my aim is to find cancer symptoms and comorbidities in electronic patient records. My first focus is to identify symptoms and patterns in patients diagnosed with cervical cancer.
I am part of NIASC, Nordic Center of Excellence in Health-Related e-Science and work in the project MINECAN
– Data and text mining of cancer symptoms and comorbidities in electronic patient records in the Nordic languages
My supervisors are professor Hercules Dalianis and professor Søren Brunak, DTU/University of Copenhagen (link)
I have an MSc in software engineering from Lund University/Lunds Tekniska Högskola where I wrote my master thesis in natural language processing.