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Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer.

, , , and . Artificial Intelligence in Medicine, (2016)

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STRIPA: A Rule-Based Decision Support System for Medication Reviews in Primary Care., , , , and . ECIS, (2015)Formalization and computation of quality measures based on electronic medical records., , , , and . JAMIA, 21 (2): 285-291 (2014)What Concerns Users of Medical Apps? Exploring Non-Functional Requirements of Medical Mobile Applications., , , , and . ECIS, (2014)Reusability of coded data in the primary care electronic medical record: A dynamic cohort study concerning cancer diagnoses., , , and . I. J. Medical Informatics, (2017)General practitioners' attitudes towards decision-supported prescribing: An analysis of the Dutch primary care sector., , , , , and . Health Informatics Journal, 19 (4): 247-263 (2013)Predictive modeling of colorectal cancer using a dedicated pre-processing pipeline on routine electronic medical records., , , , , , and . Comp. in Bio. and Med., (2016)Utilizing Data Mining for Predictive Modeling of Colorectal Cancer Using Electronic Medical Records., , , and . Brain Informatics and Health, volume 8609 of Lecture Notes in Computer Science, page 132-141. Springer, (2014)Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer., , , and . Artificial Intelligence in Medicine, (2016)Efficiency of Clinical Decision Support Systems Improves with Experience., , , , , , , and . J. Medical Systems, 40 (4): 76:1-76:7 (2016)On the Advantage of Using Dedicated Data Mining Techniques to Predict Colorectal Cancer., , , , and . AIME, volume 9105 of Lecture Notes in Computer Science, page 133-142. Springer, (2015)