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EpidRLearn: Learning Intervention Strategies for Epidemics with Reinforcement Learning.

, , , and . AIME, volume 13263 of Lecture Notes in Computer Science, page 189-199. Springer, (2022)

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M-ClustEHR: A multimodal clustering approach for electronic health records., , , and . Artif. Intell. Medicine, (2024)A Workflow for Creating Multimodal Machine Learning Models for Metastasis Predictions in Melanoma Patients., , , and . PKDD/ECML Workshops (4), volume 2136 of Communications in Computer and Information Science, page 87-102. Springer, (2023)Detecting Adverse Drug Events from Swedish Electronic Health Records using Text Mining., and . MultiligualBIO@LREC, page 1-8. European Language Resources Association, (2020)Data-Driven AI for Patient and Public Health: On the Use of Multisource and Multimodal Data in Machine Learning to Improve Healthcare. Stockholm University, Sweden, (2024)EpidRLearn: Learning Intervention Strategies for Epidemics with Reinforcement Learning., , , and . AIME, volume 13263 of Lecture Notes in Computer Science, page 189-199. Springer, (2022)Mining Adverse Drug Events Using Multiple Feature Hierarchies and Patient History Windows., and . ICDM Workshops, page 925-932. IEEE, (2019)Handling temporality of clinical events with application to Adverse Drug Event detection in Electronic Health Records: A scoping review.. CoRR, (2019)A Clustering Framework for Patient Phenotyping with Application to Adverse Drug Events., , and . CBMS, page 177-182. IEEE, (2020)A Workflow for Generating Patient Counterfactuals in Lung Transplant Recipients., , and . PKDD/ECML Workshops (2), volume 1753 of Communications in Computer and Information Science, page 291-306. Springer, (2022)