Torthaí cuardaigh - Saeed Shakibfar

A machine-learning guided method for predicting add-on and switch in secondary data sources: A case study on anti-seizure medications in Danish registries de réir Peter Suhr Breitenstein, Israa Mahmoud, Fahed Al-Azzawi, Saeed Shakibfar, Maurizio Sessa

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Machine learning-driven development of a disease risk score for COVID-19 hospitalization and mortality: a Swedish and Norwegian register-based study de réir Saeed Shakibfar, Saeed Shakibfar, Jing Zhao, Jing Zhao, Jing Zhao, Huiqi Li, Hedvig Nordeng, Hedvig Nordeng, Angela Lupattelli, Angela Lupattelli, Milena Pavlovic, Milena Pavlovic, Geir Kjetil Sandve, Geir Kjetil Sandve, Fredrik Nyberg, Björn Wettermark, Mohammadhossein Hajiebrahimi, Morten Andersen, Maurizio Sessa

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Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review de réir Saeed Shakibfar, Fredrik Nyberg, Huiqi Li, Jing Zhao, Jing Zhao, Hedvig Marie Egeland Nordeng, Hedvig Marie Egeland Nordeng, Geir Kjetil Ferkingstad Sandve, Geir Kjetil Ferkingstad Sandve, Milena Pavlovic, Milena Pavlovic, Mohammadhossein Hajiebrahimi, Morten Andersen, Maurizio Sessa

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