Hanna Suominen
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- Explainable discovery of disease biomarkers: The case of ovarian cancer to illustrate the best practice in machine learning and Shapley analysis (2023)
- Journal of Biomedical Informatics
- Has machine learning over-promised in healthcare?: A critical analysis and a proposal for improved evaluation, with evidence from Parkinson's disease (2023)
- Artificial Intelligence in Medicine
- Jointly Predicting Postprandial Hypoglycemia and Hyperglycemia Using Continuous Glucose Monitoring Data in Type 1 Diabetes (2023)
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society
- Neural Network-Based Financial Volatility Forecasting: A Systematic Review (2023)
- ACM Computing Surveys
- TextSimplifier : A Modular, Extensible, and Context Sensitive Simplification Framework for Improved Natural Language Understanding (2023) TSAR 2023 : Proceedings of the 2nd edition of the Workshop on Text Simplification, Accessibility and Readability - associated with The 14th International Conference on Recent Advances in Natural Language Processing’2023 Seneviratne Sandaru, Daskalaki Elena, Suominen Hanna
- Toward Diabetes Device Development That Is Mindful to the Needs of Young People Living With Type 1 Diabetes: A Data- and Theory-Driven Qualitative Study (2023)
- JMIR Diabetes
- Transfer learning for hate speech detection in social media (2023)
- Journal of computational social science
- Analyzing Suicide Risk From Linguistic Features in Social Media: Evaluation Study (2022)
- JMIR Formative Research
- A Reinforcement Learning Based System for Blood Glucose Control without Carbohydrate Estimation in Type 1 Diabetes: In Silico Validation (2022)
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society
- A user preference analysis of commercial breath ketone sensors to inform the development of portable breath ketone sensors for diabetes management in young people (2022)
- PLoS ONE
- Automatic Gloss Dictionary for Sign Language Learners (2022)
- Annual Meeting of the Association for Computational Linguistics
- Dynamic consent and personalised medicine (2022)
- Medical Journal of Australia
- Integrating Multiple Inputs Into an Artificial Pancreas System: Narrative Literature Review (2022)
- JMIR Diabetes
- Machine Learning Improves Upon Clinicians' Prediction of End Stage Kidney Disease (2022)
- Frontiers in Medicine
- m-Networks: Adapting the Triplet Networks for Acronym Disambiguation (2022) Proceedings of the 4th Clinical Natural Language Processing Workshop Seneviratne Sandaru, Daskalaki Elena, Lenskiy Artem, Suominen Hanna
- Non-linear Continuous Action Spaces for Reinforcement Learning in Type 1 Diabetes (2022)
- Lecture Notes in Computer Science
- Pretrained Knowledge Base Embeddings for improved Sentential Relation Extraction (2022) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop Papaluca Andrea, Krefl Daniel, Suominen Hanna, Lenskiy Artem
- Scoping natural language processing in Indonesian and Malay for education applications (2022)
- Annual Meeting of the Association for Computational Linguistics
- The current understanding of precision medicine and personalised medicine in selected research disciplines: study protocol of a systematic concept analysis (2022)
- BMJ Open
- The Potential of Current Noninvasive Wearable Technology for the Monitoring of Physiological Signals in the Management of Type 1 Diabetes: Literature Survey (2022)
- Journal of Medical Internet Research
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