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Hasija <i>et al.</i>, “Improving wearable-based seizure prediction by feature fusion using an explainable growing network,” <i>Artificial Intelligence in Medicine</i>, vol. 169, Art. no. 103228, 2025, doi: <a href=\"https://doi.org/10.1016/j.artmed.2025.103228\">10.1016/j.artmed.2025.103228</a>.","chicago":"Hasija, Tanuj, Maurice Kuschel, Michele Jackson, Stephanie Dailey, Henric Menne, Claus Reinsberger, Solveig Vieluf, and Tobias Loddenkemper. “Improving Wearable-Based Seizure Prediction by Feature Fusion Using an Explainable Growing Network.” <i>Artificial Intelligence in Medicine</i> 169 (2025). <a href=\"https://doi.org/10.1016/j.artmed.2025.103228\">https://doi.org/10.1016/j.artmed.2025.103228</a>."},"publication_identifier":{"issn":["0933-3657"]},"publication_status":"published","article_number":"103228","language":[{"iso":"eng"}],"_id":"61003","department":[{"_id":"35"},{"_id":"176"},{"_id":"17"}],"user_id":"33213","status":"public","publication":"Artificial Intelligence in Medicine","type":"journal_article"},{"language":[{"iso":"eng"}],"article_number":"101750","user_id":"51811","department":[{"_id":"277"}],"_id":"53970","status":"public","type":"journal_article","publication":"Artificial Intelligence in Medicine","doi":"10.1016/j.artmed.2019.101750","title":"A predictive analytics framework for identifying patients at risk of developing multiple medical complications caused by chronic diseases","author":[{"first_name":"Amir","full_name":"Talaei-Khoei, Amir","last_name":"Talaei-Khoei"},{"first_name":"Madjid","id":"31858","full_name":"Tavana, Madjid","last_name":"Tavana"},{"first_name":"James M.","last_name":"Wilson","full_name":"Wilson, James M."}],"date_created":"2024-05-06T16:22:12Z","volume":101,"date_updated":"2024-05-06T16:38:58Z","publisher":"Elsevier BV","citation":{"ama":"Talaei-Khoei A, Tavana M, Wilson JM. 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Wilson, “A predictive analytics framework for identifying patients at risk of developing multiple medical complications caused by chronic diseases,” <i>Artificial Intelligence in Medicine</i>, vol. 101, Art. no. 101750, 2019, doi: <a href=\"https://doi.org/10.1016/j.artmed.2019.101750\">10.1016/j.artmed.2019.101750</a>.","apa":"Talaei-Khoei, A., Tavana, M., &#38; Wilson, J. M. (2019). A predictive analytics framework for identifying patients at risk of developing multiple medical complications caused by chronic diseases. <i>Artificial Intelligence in Medicine</i>, <i>101</i>, Article 101750. <a href=\"https://doi.org/10.1016/j.artmed.2019.101750\">https://doi.org/10.1016/j.artmed.2019.101750</a>","short":"A. Talaei-Khoei, M. Tavana, J.M. 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