Hans Moen

Combining supervised and unsupervised named entity recognition to detect psychosocial risk factors in occupational health checks (2022)

International Journal of Medical Informatics

Uronen Leena, Salanterä Sanna, Hakala Kai, Hartiala Jaakko, Moen Hans

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

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))

Text Classification Model Explainability for Keyword Extraction - Towards Keyword-Based Summarization of Nursing Care Episodes (2022)

World Congress on Medical and Health Informatics, Studies in Health Technology and Informatics

Reunamo Akseli, Peltonen Laura-Maria, Mustonen Reetta, Saari Minttu, Salakoski Tapio, Salanterä Sanna, Moen Hans

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Using machine learning to predict subsequent events after EMS non-conveyance decisions (2022)

BMC Medical Informatics and Decision Making

Paulin Jani, Reunamo Akseli, Kurola Jouni, Moen Hans, Salanterä Sanna, Riihimäki Heikki, Vesanen Tero, Koivisto Mari, Iirola Timo

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

How to Improve Information Technology to Support Healthcare to Address the COVID-19 Pandemic: an International Survey with Health Informatics Experts (2021)

IMIA Yearbook of Medical Informatics

Topaz Max, Peltonen Laura-Maria, Mitchell James, Alhuwail Dari, Barakati Seyedeh-Samin, Lewis Adrienne, Moen Hans, Veeranki Sai Pavan Kumar, Block Lori, Risling Tracie, Ronquillo Charlene

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Artificial Intelligence-based technologies in nursing: A scoping literature review of the evidence (2021)

International Journal of Nursing Studies

Von Gerich Hanna, Moen Hans, Block Lorraine J., Chu Charlene H., DeForest Haley, Hobensack Mollie, Michalowski Martin, Mitchell James, Nibber Raji, Olalia Mary Anne, Pruinelli Lisiane, Ronquillo Charlene E., Topaz Maxim, Peltonen Laura-Maria

(Vertaisarvioitu katsausartikkeli tieteellisessä aikakauslehdessä (A2))

How GPs can Recognize Persistent Frequent Attenders at Finnish Primary Health Care Using Electronic Patient Records (2021)

Journal of Primary Care and Community Health

Santalahti Anne, Luutonen Sinikka, Vahlberg Tero, Moen Hans, Salanterä Sanna, Rautava Päivi

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

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))

Towards automated detection of psychosocial risk factors with text mining (2020)

Occupational Medicine

Uronen L, Moen H, Teperi S, Martimo KP, Hartiala J, Salantera S

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Assisting nurses in care documentation: from automated sentence classification to coherent document structures with subject headings (2020)

Journal of Biomedical Semantics

Moen Hans, Hakala Kai, Peltonen Laura-Maria, Matinolli Hanna-Maria, Suhonen Henry, Terho Kirsi, Danielsson-Ojala Riitta, Valta Maija, Ginter Filip, Salakoski Tapio, Salanterä Sanna.

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

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Combining supervised and unsupervised named entity recognition to detect psychosocial risk factors in occupational health checks (2022)

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

Text Classification Model Explainability for Keyword Extraction - Towards Keyword-Based Summarization of Nursing Care Episodes (2022)

Using machine learning to predict subsequent events after EMS non-conveyance decisions (2022)

How to Improve Information Technology to Support Healthcare to Address the COVID-19 Pandemic: an International Survey with Health Informatics Experts (2021)

Artificial Intelligence-based technologies in nursing: A scoping literature review of the evidence (2021)

How GPs can Recognize Persistent Frequent Attenders at Finnish Primary Health Care Using Electronic Patient Records (2021)

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

Towards automated detection of psychosocial risk factors with text mining (2020)

Assisting nurses in care documentation: from automated sentence classification to coherent document structures with subject headings (2020)