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Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration.

, , , , , , , , , , , , , , , , , , , and . BMC Medical Informatics Decis. Mak., 23 (1): 8 (December 2023)

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Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration., , , , , , , , , and 10 other author(s). BMC Medical Informatics Decis. Mak., 23 (1): 8 (December 2023)Association of COVID-19 vaccines ChAdOx1 and BNT162b2 with major venous, arterial, or thrombocytopenic events: A population-based cohort study of 46 million adults in England, , , , , , , , , and 5 other author(s). 19 (2): e1003926 (2022)Robotically-induced hallucination triggers subtle changes in brain network transitions., , , , , , and . NeuroImage, (2022)Predicting individual scores from resting state fMRI using partial least squares regression., , , , , , , , and . ISBI, page 1311-1314. IEEE, (2016)Sparse coupled hidden Markov models shed light on resting-state fMRI cross-network interactions., and . ISBI, page 358-361. IEEE, (2017)Time-frequency characterization of resting-state brain function reveals overlapping components with specific topology and frequency content., and . ICIGP, page 84-88. ACM, (2019)Agito ergo sum: Correlates of spatio-temporal motion characteristics during fMRI., , , , , , , and . NeuroImage, (2020)Dynamic reorganization of intrinsic functional networks in the mouse brain., , , , , , , and . NeuroImage, (2017)Dynamics of Brain Activity Captured by Graph Signal Processing of Neuroimaging Data to Predict Human Behaviour., and . ISBI, page 549-553. IEEE, (2020)Graph Signal Processing of Human Brain Imaging Data., , , , , and . ICASSP, page 980-984. IEEE, (2018)