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Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case study.

, , , , , , , , and . J. Am. Medical Informatics Assoc., 27 (8): 1268-1277 (2020)

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Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND)., , , , , , , , and . J. Am. Medical Informatics Assoc., 27 (8): 1331-1337 (2020)Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case study., , , , , , , , and . J. Am. Medical Informatics Assoc., 27 (8): 1268-1277 (2020)A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data., , , , , , , , , and 4 other author(s). Comput. Methods Programs Biomed., (2021)Self-Attention LSTM-FCN model for arrhythmia classification and uncertainty assessment., , , , and . Artif. Intell. Medicine, (August 2023)Erratum to: Large-Scale Evidence Generation and Evaluation across a Network of Databases (LEGEND): Assessing Validity Using Hypertension as a Case Study., , , , , , , , and . J. Am. Medical Informatics Assoc., 28 (1): 196 (2021)Machine-learning model to predict the cause of death using a stacking ensemble method for observational data., , , , and . J. Am. Medical Informatics Assoc., 28 (6): 1098-1107 (2021)Uncovering exposures responsible for birth season - disease effects: a global study., , , , , , , , , and 9 other author(s). J. Am. Medical Informatics Assoc., 25 (3): 275-288 (2018)Multi-Institutional Collaborative Research Using Ophthalmic Medical Image Data Standardized by Radiology Common Data Model (R-CDM)., , , , , and . MedInfo, volume 310 of Studies in Health Technology and Informatics, page 48-52. IOS Press, (2023)Genomic Common Data Model for Biomedical Data in Clinical Practice., , , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 1843-1844. IOS Press, (2019)Style transfer strategy for developing a generalizable deep learning application in digital pathology., , , , , , and . Comput. Methods Programs Biomed., (2021)