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Using recurrent neural networks to predict colorectal cancer among patients., , , und . SSCI, Seite 1-8. IEEE, (2017)What Concerns Users of Medical Apps? Exploring Non-Functional Requirements of Medical Mobile Applications., , , , und . ECIS, (2014)Reusability of coded data in the primary care electronic medical record: A dynamic cohort study concerning cancer diagnoses., , , und . Int. J. Medical Informatics, (2017)STRIPA: A Rule-Based Decision Support System for Medication Reviews in Primary Care., , , , und . ECIS, (2015)Formalization and computation of quality measures based on electronic medical records., , , , und . JAMIA, 21 (2): 285-291 (2014)Quantitative and temporal approach to utilising electronic medical records from general practices in mental health prediction., , , , , und . Comput. Biol. Medicine, (2020)General practitioners' attitudes towards decision-supported prescribing: An analysis of the Dutch primary care sector., , , , , und . Health Informatics J., 19 (4): 247-263 (2013)Predictive modeling of colorectal cancer using a dedicated pre-processing pipeline on routine electronic medical records., , , , , , und . Comput. Biol. Medicine, (2016)Pragmatic trials in primary care. Methodological challenges and solutions demonstrated by the DIAMOND-study., , , , , , , , , und . BMC medical research methodology, (Januar 2007)4304<m:linebreak></m:linebreak>LR: 20071115; PUBM: Electronic; DEP: 20070423; JID: 100968545; 0 (Histamine H2 Antagonists); 0 (Proton Pumps); RF: 24; 2007/02/14 received; 2007/04/23 accepted; 2007/04/23 aheadofprint; epublish;<m:linebreak></m:linebreak>Tipus d&#039;estudis.Developing clinical prediction models using primary care electronic health record data - the impact of methodological choices on model performance., , , , , , , , , und . AMIA, AMIA, (2021)