The correlation between baseline score and post-intervention score, and its implications for statistical analysis von Clifton, Lei, Clifton, David A

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An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram von Charlton, Peter H, Bonnici, Timothy, Tarassenko, Lionel, Clifton, David A, Beale, Richard, Watkinson, Peter J

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Global SARS-CoV-2 seroprevalence from January 2020 to April 2022: A systematic review and meta-analysis of standardized population-based studies von Bergeri, Isabel, Whelan, Mairead G, Ware, Harriet, Subissi, Lorenzo, Nardone, Anthony, Lewis, Hannah C, Li, Zihan, Ma, Xiaomeng, Valenciano, Marta, Cheng, Brianna, Al Ariqi, Lubna, Rashidian, Arash, Okeibunor, Joseph, Azim, Tasnim, Wijesinghe, Pushpa, Le, Linh-Vi, Vaughan, Aisling, Pebody, Richard, Vicari, Andrea, Yan, Tingting, Yanes-Lane, Mercedes, Cao, Christian, Clifton, David A, Cheng, Matthew P, Papenburg, Jesse, Buckeridge, David, Bobrovitz, Niklas, Arora, Rahul K, Van Kerkhove, Maria D

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Global seroprevalence of SARS-CoV-2 antibodies: A systematic review and meta-analysis von Bobrovitz, Niklas, Arora, Rahul Krishan, Cao, Christian, Boucher, Emily, Liu, Michael, Donnici, Claire, Yanes-Lane, Mercedes, Whelan, Mairead, Perlman-Arrow, Sara, Chen, Judy, Rahim, Hannah, Ilincic, Natasha, Segal, Mitchell, Duarte, Nathan, Van Wyk, Jordan, Yan, Tingting, Atmaja, Austin, Rocco, Simona, Joseph, Abel, Penny, Lucas, Clifton, David A, Williamson, Tyler, Yansouni, Cedric P, Evans, Timothy Grant, Chevrier, Jonathan, Papenburg, Jesse, Cheng, Matthew P

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Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations von Morelli, Davide, Rossi, Alessio, Cairo, Massimo, Clifton, David A

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Multimodal Learning With Transformers: A Survey von Xu, Peng, Zhu, Xiatian, Clifton, David A.

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Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review von Charlton, Peter H., Birrenkott, Drew A., Bonnici, Timothy, Pimentel, Marco A. F., Johnson, Alistair E. W., Alastruey, Jordi, Tarassenko, Lionel, Watkinson, Peter J., Beale, Richard, Clifton, David A.

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Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body Positions von Jarchi, Delaram, Salvi, Dario, Tarassenko, Lionel, Clifton, David A

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A medical multimodal large language model for future pandemics von Liu, Fenglin, Zhu, Tingting, Wu, Xian, Yang, Bang, You, Chenyu, Wang, Chenyang, Lu, Lei, Liu, Zhangdaihong, Zheng, Yefeng, Sun, Xu, Yang, Yang, Clifton, Lei, Clifton, David A.

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Combining machine learning with Cox models to identify predictors for incident post-menopausal breast cancer in the UK Biobank von Liu, Xiaonan, Morelli, Davide, Littlejohns, Thomas J., Clifton, David A., Clifton, Lei

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Machine learning to predict the source of campylobacteriosis using whole genome data von Arning, Nicolas, Sheppard, Samuel K, Bayliss, Sion, Clifton, David A, Wilson, Daniel J

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Data encoding for healthcare data democratization and information leakage prevention von Thakur, Anshul, Zhu, Tingting, Abrol, Vinayak, Armstrong, Jacob, Wang, Yujiang, Clifton, David A.

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Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants von Charlton, Peter H, Bonnici, Timothy, Tarassenko, Lionel, Alastruey, Jordi, Clifton, David A, Beale, Richard, Watkinson, Peter J

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An adversarial training framework for mitigating algorithmic biases in clinical machine learning von Yang, Jenny, Soltan, Andrew A. S., Eyre, David W., Yang, Yang, Clifton, David A.

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Improving Diagnostics with Deep Forest Applied to Electronic Health Records von Khodadadi, Atieh, Ghanbari Bousejin, Nima, Molaei, Soheila, Kumar Chauhan, Vinod, Zhu, Tingting, Clifton, David A

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Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts von Rossi, Alessio, Pedreschi, Dino, Clifton, David A, Morelli, Davide

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Mitigating machine learning bias between high income and low–middle income countries for enhanced model fairness and generalizability von Yang, Jenny, Clifton, Lei, Dung, Nguyen Thanh, Phong, Nguyen Thanh, Yen, Lam Minh, Thy, Doan Bui Xuan, Soltan, Andrew A. S., Thwaites, Louise, Clifton, David A.

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Self-supervised learning for human activity recognition using 700,000 person-days of wearable data von Yuan, Hang, Chan, Shing, Creagh, Andrew P., Tong, Catherine, Acquah, Aidan, Clifton, David A., Doherty, Aiden

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A Stacked Long Short-Term Memory Approach for Predictive Blood Glucose Monitoring in Women with Gestational Diabetes Mellitus von Lu, Huiqi Y, Lu, Ping, Hirst, Jane E, Mackillop, Lucy, Clifton, David A

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Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening von Yang, Jenny, Soltan, Andrew A. S., Clifton, David A.

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