Reinforcement learning for intensive care medicine: actionable clinical insights from novel approaches to reward shaping and off-policy model evaluation
Roggeveen, Luca F., Hassouni, Ali el, de Grooth, Harm-Jan, Girbes, Armand R. J., Hoogendoorn, Mark, Elbers, Paul W. G.
Published in Intensive care medicine experimental (25.03.2024)
Published in Intensive care medicine experimental (25.03.2024)
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Journal Article
Mixing Consistent Deep Clustering
Lutscher, Daniel, Hassouni, Ali el, Stol, Maarten, Hoogendoorn, Mark
Published in Machine Learning, Optimization, and Data Science (2022)
Published in Machine Learning, Optimization, and Data Science (2022)
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Book Chapter
End-to-end Personalization of Digital Health Interventions using Raw Sensor Data with Deep Reinforcement Learning : A comparative study in digital health interventions for behavior change
Hassouni, Ali el, Hoogendoorn, Mark, Eiben, A. E., van Otterlo, Martijn, Muhonen, Vesa
Published in 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI) (01.10.2019)
Published in 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI) (01.10.2019)
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Conference Proceeding
Mixing Consistent Deep Clustering
Lutscher, Daniel, Ali el Hassouni, Stol, Maarten, Hoogendoorn, Mark
Published in arXiv.org (03.11.2020)
Published in arXiv.org (03.11.2020)
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Paper
Journal Article
pH-RL: A personalization architecture to bring reinforcement learning to health practice
Ali el Hassouni, Hoogendoorn, Mark, Ciharova, Marketa, Kleiboer, Annet, Amarti, Khadicha, Muhonen, Vesa, Riper, Heleen, Eiben, A E
Published in arXiv.org (31.03.2021)
Published in arXiv.org (31.03.2021)
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Paper
Journal Article
A clustering-based reinforcement learning approach for tailored personalization of e-Health interventions
Ali el Hassouni, Hoogendoorn, Mark, Martijn van Otterlo, Eiben, A E, Muhonen, Vesa, Barbaro, Eduardo
Published in arXiv.org (21.05.2020)
Published in arXiv.org (21.05.2020)
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Paper
Journal Article
Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis
Roggeveen, Luca, el Hassouni, Ali, Ahrendt, Jonas, Guo, Tingjie, Fleuren, Lucas, Thoral, Patrick, Girbes, Armand RJ, Hoogendoorn, Mark, Elbers, Paul WG
Published in Artificial intelligence in medicine (01.02.2021)
Published in Artificial intelligence in medicine (01.02.2021)
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Journal Article
Reinforcement learning for personalization: A systematic literature review
den Hengst, Floris, Grua, Eoin Martino, el Hassouni, Ali, Hoogendoorn, Mark
Published in Data Science (11.11.2020)
Published in Data Science (11.11.2020)
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Journal Article
pH-RL: A Personalization Architecture to Bring Reinforcement Learning to Health Practice
el Hassouni, Ali, Hoogendoorn, Mark, Ciharova, Marketa, Kleiboer, Annet, Amarti, Khadicha, Muhonen, Vesa, Riper, Heleen, Eiben, A. E.
Published in Machine Learning, Optimization, and Data Science (2022)
Published in Machine Learning, Optimization, and Data Science (2022)
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Book Chapter
Prediction using patient comparison vs. modeling: A case study for mortality prediction
Hoogendoorn, Mark, el Hassouni, Ali, Mok, Kwongyen, Ghassemi, Marzyeh, Szolovits, Peter
Published in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (01.08.2016)
Published in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (01.08.2016)
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Conference Proceeding
Journal Article