Hans Moen profile picture
Hans
Moen
Data-analytiikka
PhD
IKITIK - Information and language technology for health information and communication (www.ikitik.fi)

Areas of expertise

Natural Language Processing
Clinical Natural Language Processing
Text Mining
Health Informatics
Machine Learning

Research

My research focus on developing innovative, intelligent, state-of-the-art clinical information and language technology solutions tailored for medical data. I have a special emphasis on the free-text narratives in electronic health records. A central focus of my research is in utilizing language technology to support health care workers in managing the textual data in electronic health records. The aim is to help health care workers to save time, effort and resources, as well as to improve care quality and safety.

Publications

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Towards Automated Screening of Literature on Artificial Intelligence in Nursing (2022)

World congress on medical and health informatics, World congress on medical and health informatics
Moen Hans, Alhuwail Dari, Björne Jari, Block Lori, Celin Sven, Jeon Eunjoo, Kreiner Karl, Mitchell James, Ožegović Gabriela, Ronquillo Charlene Esteban, Sequeira Lydia, Tayaben Jude, Topaz Maxim, Veeranki Sai Pavan Kumar, Peltonen Laura-Maria
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Neural Network and Random Forest Models in Protein Function Prediction (2020)

IEEE/ACM Transactions on Computational Biology and Bioinformatics
Hakala Kai, Kaewphan Suwisa, Björne Jari, Mehryary Farrokh, Moen Hans, Tolvanen Martti, Salakoski Tapio, Ginter Filip
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))