Maria Bampa
Orcid: 0000-0003-0927-8239
According to our database1,
Maria Bampa
authored at least 10 papers
between 2019 and 2024.
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Bibliography
2024
Data-Driven AI for Patient and Public Health: On the Use of Multisource and Multimodal Data in Machine Learning to Improve Healthcare
PhD thesis, 2024
Artif. Intell. Medicine, 2024
2023
A Workflow for Creating Multimodal Machine Learning Models for Metastasis Predictions in Melanoma Patients.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023
2022
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022
EpidRLearn: Learning Intervention Strategies for Epidemics with Reinforcement Learning.
Proceedings of the Artificial Intelligence in Medicine, 2022
2020
Detecting Adverse Drug Events from Swedish Electronic Health Records using Text Mining.
Proceedings of the LREC 2020 Workshop on Multilingual Biomedical Text Processing, 2020
A Clustering Framework for Patient Phenotyping with Application to Adverse Drug Events.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
2019
Aggregate-Eliminate-Predict: Detecting Adverse Drug Events from Heterogeneous Electronic Health Records.
CoRR, 2019
Handling temporality of clinical events with application to Adverse Drug Event detection in Electronic Health Records: A scoping review.
CoRR, 2019
Mining Adverse Drug Events Using Multiple Feature Hierarchies and Patient History Windows.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019