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EpidRLearn: Learning Intervention Strategies for Epidemics with Reinforcement Learning.

, , , и . AIME, том 13263 из Lecture Notes in Computer Science, стр. 189-199. Springer, (2022)

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Manuel Mariadasa

Boris Mariacher

Petra Marialke-Kandaouroff

Malaiyalam Mariappan

Norman Marian

 

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