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Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources.

, , , , , , , and . J. Biomed. Informatics, (2016)

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Health MIC: Worth the Effort? - The Argument for an R and D Agenda in Support of Healthcare Management Informatics and Computing.. HEALTHINF, page 351-356. INSTICC Press, (2009)Advancing data management and usage in a major Australian health service: The REASON discovery platform™., and . ICDSE, page 38-43. IEEE, (2014)A National Survey of EMR Usability: Comparisons between medical and nursing professions in the hospital and primary care sectors in Australia and Finland., , , , , , and . Int. J. Medical Informatics, (2021)An Integrated Information Systems Success Model: A Case Study of an Australian Hospital., , , and . ISD, page 231-241. Springer, (2013)Oral contraceptives and breast cancer: a prospective cohort study, , , , , , , , , and . JAMA, 255 (1): 58--61 (1986)Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources., , , , , , , and . J. Biomed. Informatics, (2016)Clinician value from big data: creating a path forwards., , and . Int. J. Electron. Heal., 9 (4): 275-293 (2017)A technology ecosystem perspective on hospital management information systems: lessons from the health literature., and . Int. J. Electron. Heal., 5 (2): 193-210 (2009)Addressing Cognitive Load in Training on Electronic Medical Record Systems., , , and . ACIS, page 56. (2019)DEMoS: a deep learning-based ensemble approach for predicting the molecular subtypes of gastric adenocarcinomas from histopathological images., , , , , , , , , and 1 other author(s). Bioinform., 38 (17): 4206-4213 (2022)