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Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review.

, , , , , , , and . J. Biomed. Informatics, (2021)

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Exploiting a sensed environment to improve human-agent communication., , , , and . AAMAS, page 44-50. ACM, (2005)FADL: Federated-Autonomous Deep Learning for Distributed Electronic Health Record., , , and . CoRR, (2018)Classifying unstructured electronic consult messages to understand primary care physician specialty information needs., , , , , and . J. Am. Medical Informatics Assoc., 29 (9): 1607-1617 (2022)Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record., , , , , , , , , and 1 other author(s). J. Am. Medical Informatics Assoc., 22 (e1): e151-e161 (2015)A scoping review of publicly available language tasks in clinical natural language processing., , , , , , , , , and . J. Am. Medical Informatics Assoc., 29 (10): 1797-1806 (2022)Improving model transferability for clinical note section classification models using continued pretraining., , , , , and . J. Am. Medical Informatics Assoc., 31 (1): 89-97 (December 2023)Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy., , , , , , , , , and . CoRR, (2023)Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review., , , , , , , and . CoRR, (2020)Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review., , , , , , , and . J. Biomed. Informatics, (2021)Pre-training phenotyping classifiers., , and . J. Biomed. Informatics, (2021)