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Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate Energy Expenditure in a Diverse Cohort

, , , , , , , and . Journal of Personalized Medicine, (2017)
DOI: 10.3390/jpm7020003

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Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate and Energy Expenditure in a Diverse Cohort, , , , , , , and . Journal of Personalized Medicine, (2017)Medical Imaging and Machine Learning., , , , and . CoRR, (2021)A Generalizable Deep Learning System for Cardiac MRI., , , , , , , , , and 7 other author(s). CoRR, (2023)Benchmarking workflows to assess performance and suitability of germline variant calling pipelines in clinical diagnostic assays., , , , , and . BMC Bioinform., 22 (1): 85 (2021)Towards precision medicine. Nature Reviews Genetics, 17 (9): 507--522 (Aug 16, 2016)Video-based AI for beat-to-beat assessment of cardiac function., , , , , , , , , and 1 other author(s). Nat., 580 (7802): 252-256 (2020)Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments., , , , , , , , , and . PLoS Comput. Biol., (2016)A non-exercise based V02max prediction using FRIEND dataset with a neural network., , , , , , , , , and 2 other author(s). EMBC, page 4203-4206. IEEE, (2017)Effect of lossy compression of quality scores on variant calling., , , , and . Briefings Bioinform., 18 (2): 183-194 (2017)Deep learning interpretation of echocardiograms., , , , , , , , and . npj Digit. Medicine, (2020)