Hans
Moen
Data analytics
PhD
IKITIK - Information and language technology for health information and communication (www.ikitik.fi)
Contact
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
Assisting nurses in care documentation: from automated sentence classification to coherent document structures with subject headings (2020)
Journal of Biomedical Semantics
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Supporting the use of standardized nursing terminologies with automatic subject heading prediction: a comparison of sentence-level text classification methods (2020)
Journal of the American Medical Informatics Association
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Semantic clustering to augment qualitative content analysis in exploring reasons for emergency department transfer delays (2020)
European Federation for Medical Informatics, Studies in Health Technology and Informatics
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Changing Role of EMS -Analyses of Non-Conveyed and Conveyed Patients in Finland (2020)
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Exploring unsupervised query paraphrasing to identify relevant search phrases for a literature review (2020)
Studies in Health Technology and Informatics
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Entity-pair embeddings for improving relation extraction in the biomedical domain (2020)
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Neural Network and Random Forest Models in Protein Function Prediction (2020)
IEEE/ACM Transactions on Computational Biology and Bioinformatics
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
An Unsupervised Query Rewriting Approach Using N-gram Co-occurrence Statistics to Find Similar Phrases in Large Text Corpora (2019)
Nordic Conference on Computational Linguistics, Linköping Electronic Conference Proceedings
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Secondary use of electronic health records: Availability aspects in two Nordic countries (2019)
Health Information Management Journal
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Unsupervised phrase-level query rewriting for assisting search in clinical free text (2019)
World Congress on Medical and Health Informatics, World congress on medical and health informatics
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))