{"volume":101,"publisher":"Elsevier BV","publication_status":"published","type":"journal_article","user_id":"51811","intvolume":"       101","date_created":"2024-05-06T16:22:12Z","status":"public","publication":"Artificial Intelligence in Medicine","date_updated":"2024-05-06T16:38:58Z","department":[{"_id":"277"}],"title":"A predictive analytics framework for identifying patients at risk of developing multiple medical complications caused by chronic diseases","author":[{"full_name":"Talaei-Khoei, Amir","last_name":"Talaei-Khoei","first_name":"Amir"},{"id":"31858","first_name":"Madjid","full_name":"Tavana, Madjid","last_name":"Tavana"},{"first_name":"James M.","full_name":"Wilson, James M.","last_name":"Wilson"}],"article_number":"101750","year":"2019","citation":{"ama":"Talaei-Khoei A, Tavana M, Wilson JM. A predictive analytics framework for identifying patients at risk of developing multiple medical complications caused by chronic diseases. <i>Artificial Intelligence in Medicine</i>. 2019;101. doi:<a href=\"https://doi.org/10.1016/j.artmed.2019.101750\">10.1016/j.artmed.2019.101750</a>","chicago":"Talaei-Khoei, Amir, Madjid Tavana, and James M. 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> 101 (2019). <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. Wilson, Artificial Intelligence in Medicine 101 (2019).","ieee":"A. Talaei-Khoei, M. Tavana, and J. M. 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>","bibtex":"@article{Talaei-Khoei_Tavana_Wilson_2019, title={A predictive analytics framework for identifying patients at risk of developing multiple medical complications caused by chronic diseases}, volume={101}, DOI={<a href=\"https://doi.org/10.1016/j.artmed.2019.101750\">10.1016/j.artmed.2019.101750</a>}, number={101750}, journal={Artificial Intelligence in Medicine}, publisher={Elsevier BV}, author={Talaei-Khoei, Amir and Tavana, Madjid and Wilson, James M.}, year={2019} }","mla":"Talaei-Khoei, Amir, et al. “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, 101750, Elsevier BV, 2019, doi:<a href=\"https://doi.org/10.1016/j.artmed.2019.101750\">10.1016/j.artmed.2019.101750</a>."},"_id":"53970","publication_identifier":{"issn":["0933-3657"]},"doi":"10.1016/j.artmed.2019.101750","language":[{"iso":"eng"}]}