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Research Article
Explainable Analytics to Predict the Quality of Life in Patients with Prostate Cancer from Longitudinal Data
Fatemeh Sharifia Department of Electrical and Software Engineering, University of Calgary, Calgary, AB, CanadaCorrespondence[email protected]
https://orcid.org/0000-0003-4820-3109View further author information
https://orcid.org/0000-0003-4820-3109View further author information, Emad Mohammedb Faculty of Science, Department of Engineering, Thompson Rivers University, Kamloops, BC, Canadahttps://orcid.org/0000-0001-8722-4856View further author information
https://orcid.org/0000-0001-8722-4856View further author information, Trafford Crumpc Department of Surgery, University of Calgary, Calgary, AB, Canadahttps://orcid.org/0000-0001-6690-1926View further author information
https://orcid.org/0000-0001-6690-1926View further author information & Behrouz H. Fara Department of Electrical and Software Engineering, University of Calgary, Calgary, AB, Canadahttps://orcid.org/0000-0003-1589-8039View further author information
https://orcid.org/0000-0003-1589-8039View further author information