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Ian Atkinson

James Cook University

148

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1594

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A computationally efficient CNN-LSTM neural network for estimation of blood pressure from features of electrocardiogram and photoplethysmogram waveforms

2022 Knowledge Based Systems
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DEEP PHENOTYPING USING UNSUPERVISED MACHINE LEARNING OF HFPEF PATIENTS WITH DIABETES MELLITUS IN THE TOPCAT AMERICAS COHORT

2021 Journal of the American College of Cardiology
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DEEP PHENOTYPING BY UNSUPERVISED MACHINE LEARNING OF PARTICIPANTS IN THE BARI 2D TRIAL

2021 Journal of the American College of Cardiology
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Hybridized neural networks for non-invasive and continuous mortality risk assessment in neonates.

2021 Computers in Biology and Medicine
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Wallace v2.0 Animalia: Habitat suitability distribution modelling for Animalia worldwide

2021
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A Noise Robust Automatic Radiolocation Animal Tracking System

2021
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A hybrid neural network for continuous and non-invasive estimation of blood pressure from raw electrocardiogram and photoplethysmogram waveforms.

2021 Computer Methods and Programs in Biomedicine
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Wallace v2.0: Accessory data and files for producing species distributions

2021
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Continuous and automatic mortality risk prediction using vital signs in the intensive care unit: a hybrid neural network approach.

2020 Scientific Reports
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USE OF MACHINE LEARNING METHODOLOGY TO FIND PREDICTORS OF ALL-CAUSE MORTALITY IN PREVENTION OF EVENTS WITH ANGIOTENSIN-CONVERTING ENZYME INHIBITION (PEACE) TRIAL

2020 Journal of the American College of Cardiology
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