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Hans Moen
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2020 – today
- 2024
- [c23]Chen He
, Vishnu Raj
, Hans Moen
, Tommi Gröhn
, Chen Wang
, Laura-Maria Peltonen
, Saila Koivusalo
, Pekka Marttinen
, Giulio Jacucci
:
VMS: Interactive Visualization to Support the Sensemaking and Selection of Predictive Models. IUI 2024: 229-244 - [i1]Ya Gao, Hans Moen, Saila Koivusalo, Miika Koskinen, Pekka Marttinen:
Query-Guided Self-Supervised Summarization of Nursing Notes. CoRR abs/2407.04125 (2024) - 2023
- [j9]Ali Zolnour, Christina E. Eldredge, Anthony Faiola, Yadollah Yaghoobzadeh
, Masoud Khani
, Doreen Foy, Maxim Topaz, Hadi Kharrazi
, Kin Wah Fung, Paul A. Fontelo, Anahita Davoudi, Azade Tabaie, Scott A. Breitinger, Tyler S. Oesterle, Masoud Rouhizadeh, Zahra Zonnor, Hans Moen, Timothy B. Patrick, Maryam Zolnoori:
A risk identification model for detection of patients at risk of antidepressant discontinuation. Frontiers Artif. Intell. 6 (2023) - [c22]Hanna von Gerich
, Hans Moen
, Laura-Maria Peltonen
:
Electronic Health Records as Information Source in Assessment of the Effectiveness of Delivered Care - A Pilot Study. MIE 2023: 344-345 - [c21]Wei Sun, Shaoxiong Ji
, Tuulia Denti, Hans Moen, Oleg Kerro, Antti Rannikko
, Pekka Marttinen
, Miika Koskinen:
Weak Supervision and Clustering-Based Sample Selection for Clinical Named Entity Recognition. ECML/PKDD (6) 2023: 444-459 - 2022
- [j8]Leena Uronen
, Sanna Salanterä
, Kai Hakala, Jaakko Hartiala
, Hans Moen
:
Combining supervised and unsupervised named entity recognition to detect psychosocial risk factors in occupational health checks. Int. J. Medical Informatics 160: 104695 (2022) - [j7]Jani Paulin
, Akseli Reunamo
, Jouni Kurola, Hans Moen, Sanna Salanterä
, Heikki Riihimäki, Tero Vesanen, Mari Koivisto, Timo Iirola:
Using machine learning to predict subsequent events after EMS non-conveyance decisions. BMC Medical Informatics Decis. Mak. 22(1): 166 (2022) - [j6]Kai Hakala
, Suwisa Kaewphan
, Jari Björne, Farrokh Mehryary
, Hans Moen
, Martti Tolvanen
, Tapio Salakoski, Filip Ginter:
Neural Network and Random Forest Models in Protein Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1772-1781 (2022) - [c20]Hans Moen, Henry Suhonen, Sanna Salanterä
, Tapio Salakoski, Laura-Maria Peltonen
:
Clustering Nursing Sentences - Comparing Three Sentence Embedding Methods. MIE 2022: 854-858 - 2021
- [c19]Akseli Reunamo
, Laura-Maria Peltonen
, Reetta Mustonen
, Minttu Saari, Tapio Salakoski, Sanna Salanterä
, Hans Moen:
Text Classification Model Explainability for Keyword Extraction - Towards Keyword-Based Summarization of Nursing Care Episodes. MedInfo 2021: 632-636 - [c18]Hans Moen, Dari AlHuwail, Jari Björne, Lori Block, Sven Celin, Eunjoo Jeon, Karl Kreiner
, James Mitchell, Gabriela Ozegovic, Charlene Esteban Ronquillo, Lydia Sequeira, Jude L. Tayaben, Maxim Topaz, Sai Pavan Kumar Veeranki
, Laura-Maria Peltonen
:
Towards Automated Screening of Literature on Artificial Intelligence in Nursing. MedInfo 2021: 637-640 - 2020
- [j5]Hans Moen
, Kai Hakala, Laura-Maria Peltonen
, Hanna-Maria Matinolli
, Henry Suhonen, Kirsi Terho, Riitta Danielsson-Ojala, Maija Valta, Filip Ginter, Tapio Salakoski, Sanna Salanterä
:
Assisting nurses in care documentation: from automated sentence classification to coherent document structures with subject headings. J. Biomed. Semant. 11(1): 10 (2020) - [j4]Hans Moen
, Kai Hakala, Laura-Maria Peltonen
, Henry Suhonen, Filip Ginter, Tapio Salakoski, Sanna Salanterä
:
Supporting the use of standardized nursing terminologies with automatic subject heading prediction: a comparison of sentence-level text classification methods. J. Am. Medical Informatics Assoc. 27(1): 81-88 (2020) - [c17]Laura-Maria Peltonen
, Sanna Salanterä
, Hans Moen:
Semantic Clustering to Augment Qualitative Content Analysis in Exploring Reasons for Emergency Department Transfer Delays. EFMI-STC 2020: 162-166 - [c16]Farrokh Mehryary, Hans Moen, Tapio Salakoski, Filip Ginter:
Entity-Pair Embeddings for Improving Relation Extraction in the Biomedical Domain. ESANN 2020: 613-618
2010 – 2019
- 2019
- [c15]Hans Moen
, Laura-Maria Peltonen
, Henry Suhonen, Mikko Koivumäki
, Tapio Salakoski, Sanna Salanterä
:
Unsupervised Phrase-Level Query Rewriting for Assisting Search in Clinical Free Text. MedInfo 2019: 1550-1551 - [c14]Hans Moen, Laura-Maria Peltonen, Henry Suhonen, Hanna-Maria Matinolli, Riitta Mieronkoski, Kirsi Telen, Kirsi Terho, Tapio Salakoski, Sanna Salanterä:
An Unsupervised Query Rewriting Approach Using N-gram Co-occurrence Statistics to Find Similar Phrases in Large Text Corpora. NODALIDA 2019: 131-139 - 2018
- [c13]Hans Moen, Kai Hakala, Laura-Maria Peltonen, Henry Suhonen, Petri Loukasmäki, Tapio Salakoski, Filip Ginter, Sanna Salanterä:
Evaluation of a Prototype System that Automatically Assigns Subject Headings to Nursing Narratives Using Recurrent Neural Network. Louhi@EMNLP 2018: 94-100 - [c12]Hans Moen, Laura-Maria Peltonen
, Mikko Koivumäki
, Henry Suhonen, Tapio Salakoski, Filip Ginter, Sanna Salanterä
:
Improving Layman Readability of Clinical Narratives with Unsupervised Synonym Replacement. MIE 2018: 725-729 - 2017
- [c11]Kai Hakala, Farrokh Mehryary, Hans Moen, Suwisa Kaewphan, Tapio Salakoski, Filip Ginter:
Ensemble of Convolutional Neural Networks for Medicine Intake Recognition in Twitter. SMM4H@AMIA 2017: 59-63 - [c10]Hans Moen, Kai Hakala, Farrokh Mehryary, Laura-Maria Peltonen, Tapio Salakoski, Filip Ginter, Sanna Salanterä:
Detecting mentions of pain and acute confusion in Finnish clinical text. BioNLP 2017: 365-372 - 2016
- [b1]Hans Moen:
Distributional Semantic Models for Clinical Text Applied to Health Record Summarization. Norwegian University of Science and Technology, Trondheim, Norway, 2016 - [j3]Hans Moen
, Laura-Maria Peltonen
, Juho Heimonen, Antti Airola
, Tapio Pahikkala
, Tapio Salakoski, Sanna Salanterä
:
Comparison of automatic summarisation methods for clinical free text notes. Artif. Intell. Medicine 67: 25-37 (2016) - [c9]Antti Vikström, Sanaz Rahimi Moosavi, Hans Moen, Tapio Salakoski, Sanna Salanterä
:
Factors Affecting the Availability of Electronic Patient Records for Secondary Purposes - A Case Study. WIS 2016: 47-56 - 2015
- [j2]Hans Moen, Filip Ginter, Erwin Marsi, Laura-Maria Peltonen
, Tapio Salakoski, Sanna Salanterä
:
Care episode retrieval: distributional semantic models for information retrieval in the clinical domain. BMC Medical Informatics Decis. Mak. 15-S(S-2): S2 (2015) - 2014
- [j1]Aron Henriksson, Hans Moen, Maria Skeppstedt, Vidas Daudaravicius, Martin Duneld:
Synonym extraction and abbreviation expansion with ensembles of semantic spaces. J. Biomed. Semant. 5: 6 (2014) - [c8]Hans Moen, Erwin Marsi, Filip Ginter, Laura-Maria Murtola, Tapio Salakoski, Sanna Salanterä:
Care Episode Retrieval. Louhi@EACL 2014: 116-124 - [c7]Hans Moen, Juho Heimonen, Laura-Maria Murtola, Antti Airola, Tapio Pahikkala, Virpi Terävä, Riitta Danielsson-Ojala, Tapio Salakoski, Sanna Salanterä:
On Evaluation of Automatically Generated Clinical Discharge Summaries. PAHI 2014: 101-114 - 2013
- [c6]Hans Moen, Erwin Marsi, Björn Gambäck:
Towards Dynamic Word Sense Discrimination with Random Indexing. CVSM@ACL 2013: 83-90 - [c5]Laura-Maria Murtola, Lotta Kauhanen, Hans Moen, Heljä Lundgrén-Laine, Tapio Salakoski, Sanna Salanterä:
Using Text Mining to Explore Factors Associated with Acute Confusion in Cardiac Patients Documentation. CLEF (Working Notes) 2013 - [c4]Hans Moen, Erwin Marsi:
Cross-Lingual Random Indexing for Information Retrieval. SLSP 2013: 164-175 - [c3]Erwin Marsi, Hans Moen, Lars Bungum, Gleb Sizov, Björn Gambäck, André Lynum:
NTNU-CORE: Combining strong features for semantic similarity. *SEM@NAACL-HLT 2013: 66-73 - 2012
- [c2]Hans Moen, Erwin Marsi:
Towards Retrieving and Ranking Clinical Recommendations with Cross-Lingual Random Indexing. CLEF (Online Working Notes/Labs/Workshop) 2012 - 2010
- [c1]Pinar Öztürk, R. Rajendra Prasath
, Hans Moen:
Distributed Representations to Detect Higher Order Term Correlations in Textual Content. RSCTC 2010: 740-750
Coauthor Index
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last updated on 2024-08-08 19:15 CEST by the dblp team
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