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DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time

Tadesse GA, Javed H, Weldemariam K, Liu Y, Liu J et al. (2021), Artificial Intelligence in Medicine, 121, 102192-102192

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@article{deepmideepmulti-2021/11,
  title={DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time},
  author={Tadesse GA, Javed H, Weldemariam K, Liu Y, Liu J et al.},
  journal={Artificial Intelligence in Medicine},
  volume={121},
  number={102192},
  pages={102192-102192},
  publisher={Elsevier BV},
  year = "2021"
}

Machine learning to predict the source of campylobacteriosis using whole genome data.

Arning N, Sheppard SK, Bayliss S, Clifton DA & Wilson DJ (2021), PLoS Genet, 17(10), e1009436

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@article{machinelearning-2021/10,
  title={Machine learning to predict the source of campylobacteriosis using whole genome data.},
  author={Arning N, Sheppard SK, Bayliss S, Clifton DA & Wilson DJ},
  journal={PLoS Genet},
  volume={17},
  pages={e1009436},
  year = "2021"
}

Publisher Correction: Utility of single versus sequential measurements of risk factors for prediction of stroke in Chinese adults.

Chun M, Clarke R, Zhu T, Clifton D, Bennett D et al. (2021), Scientific reports, 11(1), 20874

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@article{publishercorrec-2021/10,
  title={Publisher Correction: Utility of single versus sequential measurements of risk factors for prediction of stroke in Chinese adults.},
  author={Chun M, Clarke R, Zhu T, Clifton D, Bennett D et al.},
  journal={Scientific reports},
  volume={11},
  pages={20874},
  year = "2021"
}

Experiences of current vital signs monitoring practices and views of wearable monitoring: A qualitative study in patients and nurses

Areia C, King E, Ede J, Young L, Tarassenko L et al. (2021), JOURNAL OF ADVANCED NURSING

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@article{experiencesofcu-2021/10,
  title={Experiences of current vital signs monitoring practices and views of wearable monitoring: A qualitative study in patients and nurses},
  author={Areia C, King E, Ede J, Young L, Tarassenko L et al.},
  journal={JOURNAL OF ADVANCED NURSING},
  year = "2021"
}

The impact of wearable continuous vital sign monitoring on deterioration detection and clinical outcomes in hospitalised patients: a systematic review and meta-analysis.

Areia C et al. (2021), Critical care (London, England), 25(1), 351

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@article{theimpactofwear-2021/9,
  title={The impact of wearable continuous vital sign monitoring on deterioration detection and clinical outcomes in hospitalised patients: a systematic review and meta-analysis.},
  author={Areia C et al.},
  journal={Critical care (London, England)},
  volume={25},
  pages={351},
  year = "2021"
}

An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction

Yang Y et al. (2021), Briefings in Bioinformatics

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@article{anendtoendheter-2021/8,
  title={An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction},
  author={Yang Y et al.},
  journal={Briefings in Bioinformatics},
  publisher={Oxford University Press },
  year = "2021"
}

Interactive Effects of Heart Rate Variability and P-QRS-T on the Power Density Spectra of ECG Signals

Clifton D & Lu L (2021), IEEE Journal of Biomedical and Health Informatics

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@article{interactiveeffe-2021/8,
  title={Interactive Effects of Heart Rate Variability and P-QRS-T on the Power Density Spectra of ECG Signals},
  author={Clifton D & Lu L},
  journal={IEEE Journal of Biomedical and Health Informatics},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2021"
}

A clinical deep learning framework for continually learning from cardiac signals across diseases, time, modalities, and institutions.

Kiyasseh D, Zhu T & Clifton D (2021), Nature Communications, 12(1)

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@article{aclinicaldeeple-2021/7,
  title={A clinical deep learning framework for continually learning from cardiac signals across diseases, time, modalities, and institutions.},
  author={Kiyasseh D, Zhu T & Clifton D},
  journal={Nature Communications},
  volume={12},
  number={4221},
  publisher={Springer Nature},
  year = "2021"
}

CLOCS: contrastive learning of cardiac signals across space, time, and patients

Kiyasseh D, Zhu T & Clifton D (2021), 5606-5615

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@article{clocscontrastiv-2021/7,
  title={CLOCS: contrastive learning of cardiac signals across space, time, and patients},
  author={Kiyasseh D, Zhu T & Clifton D},
  journal={},
  pages={5606-5615},
  publisher={Journal of Machine Learning Research},
  year = "2021"
}

CLOCS: contrastive learning of cardiac signals across space, time, and patients

Kiyasseh D, Zhu T & Clifton D (2021), 5606-5615

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@article{clocscontrastiv-2021/7,
  title={CLOCS: contrastive learning of cardiac signals across space, time, and patients},
  author={Kiyasseh D, Zhu T & Clifton D},
  journal={},
  pages={5606-5615},
  publisher={Journal of Machine Learning Research},
  year = "2021"
}

Forecasting COVID-19 severity by intelligent optical fingerprinting of blood samples

Faria SP et al. (2021), Diagnostics, 11(8)

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@article{forecastingcovi-2021/7,
  title={Forecasting COVID-19 severity by intelligent optical fingerprinting of blood samples},
  author={Faria SP et al.},
  journal={Diagnostics},
  volume={11},
  number={1309},
  publisher={MDPI},
  year = "2021"
}

A clinical deep learning framework for continually learning from cardiac signals across diseases, time, modalities, and institutions.

Kiyasseh D, Zhu T & Clifton D (2021), Nature Communications, 12(1)

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@article{aclinicaldeeple-2021/7,
  title={A clinical deep learning framework for continually learning from cardiac signals across diseases, time, modalities, and institutions.},
  author={Kiyasseh D, Zhu T & Clifton D},
  journal={Nature Communications},
  volume={12},
  number={4221},
  publisher={Springer Nature},
  year = "2021"
}

Prediction of monetary penalties for data protection cases in multiple languages

Ceross A & Zhu T (2021), Proceedings of the 18th International Conference on Artificial Intelligence and Law, ICAIL 2021, 185-189

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@inproceedings{predictionofmon-2021/6,
  title={Prediction of monetary penalties for data protection cases in multiple languages},
  author={Ceross A & Zhu T},
  pages={185-189},
  year = "2021"
}

App-Based Versus Standard Six-Minute Walk Test in Pulmonary Hypertension: Mixed Methods Study.

Salvi D, Poffley E, Tarassenko L & Orchard E (2021), JMIR mHealth and uHealth, 9(6), e22748

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@article{appbasedversuss-2021/6,
  title={App-Based Versus Standard Six-Minute Walk Test in Pulmonary Hypertension: Mixed Methods Study.},
  author={Salvi D, Poffley E, Tarassenko L & Orchard E},
  journal={JMIR mHealth and uHealth},
  volume={9},
  pages={e22748},
  year = "2021"
}

Development and validation of early warning score systems for COVID-19 patients

Youssef A et al. (2021), Healthcare Technology Letters

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@article{developmentandv-2021/5,
  title={Development and validation of early warning score systems for COVID-19 patients},
  author={Youssef A et al.},
  journal={Healthcare Technology Letters},
  publisher={Institution of Engineering and Technology},
  year = "2021"
}

Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults

Chun M et al. (2021), Journal of the American Medical Informatics Association

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@article{strokeriskpredi-2021/5,
  title={Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults },
  author={Chun M et al.},
  journal={Journal of the American Medical Informatics Association},
  publisher={Oxford University Press},
  year = "2021"
}

Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults

Chun M et al. (2021), Journal of the American Medical Informatics Association

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@article{strokeriskpredi-2021/5,
  title={Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults },
  author={Chun M et al.},
  journal={Journal of the American Medical Informatics Association},
  publisher={Oxford University Press},
  year = "2021"
}

Recruiting patients to a digital self-management study whilst in hospital for a chronic obstructive pulmonary disease exacerbation: a feasibility analysis

Whelan M et al. (2021), Digital Health, 7

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@article{recruitingpatie-2021/5,
  title={Recruiting patients to a digital self-management study whilst in hospital for a chronic obstructive pulmonary disease exacerbation: a feasibility analysis},
  author={Whelan M et al.},
  journal={Digital Health},
  volume={7},
  number={20552076211020876},
  publisher={SAGE Publications},
  year = "2021"
}

Development and validation of early warning score systems for COVID-19 patients

Youssef A et al. (2021), Healthcare Technology Letters

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@article{developmentandv-2021/5,
  title={Development and validation of early warning score systems for COVID-19 patients},
  author={Youssef A et al.},
  journal={Healthcare Technology Letters},
  publisher={Institution of Engineering and Technology},
  year = "2021"
}

Recruiting patients to a digital self-management study whilst in hospital for a chronic obstructive pulmonary disease exacerbation: a feasibility analysis

Whelan M et al. (2021), Digital Health, 7

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@article{recruitingpatie-2021/5,
  title={Recruiting patients to a digital self-management study whilst in hospital for a chronic obstructive pulmonary disease exacerbation: a feasibility analysis},
  author={Whelan M et al.},
  journal={Digital Health},
  volume={7},
  number={20552076211020876},
  publisher={SAGE Publications},
  year = "2021"
}

Protocol for a systematic review assessing ambulatory vital sign monitoring impact on deterioration detection and related clinical outcomes in hospitalised patients

Areia C et al. (2021), BMJ Open, 11(5)

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@article{protocolforasys-2021/5,
  title={Protocol for a systematic review assessing ambulatory vital sign monitoring impact on deterioration detection and related clinical outcomes in hospitalised patients},
  author={Areia C et al.},
  journal={BMJ Open},
  volume={11},
  number={e047715},
  publisher={BMJ Open},
  year = "2021"
}

Guest Editorial Camera-Based Monitoring for Pervasive Healthcare Informatics

Wang W, Leonhardt S, Tarassenko L, Shan C & McDuff D (2021), IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 25(5), 1358-1360

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@article{guesteditorialc-2021/5,
  title={Guest Editorial Camera-Based Monitoring for Pervasive Healthcare Informatics},
  author={Wang W, Leonhardt S, Tarassenko L, Shan C & McDuff D},
  journal={IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS},
  volume={25},
  pages={1358-1360},
  year = "2021"
}

Estimated prevalence of hypertension and undiagnosed hypertension in a large inpatient population: A cross-sectional observational study.

Mahdi A, Armitage LC, Tarassenko L & Watkinson P (2021), American journal of hypertension

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@article{estimatedpreval-2021/5,
  title={Estimated prevalence of hypertension and undiagnosed hypertension in a large inpatient population: A cross-sectional observational study.},
  author={Mahdi A, Armitage LC, Tarassenko L & Watkinson P},
  journal={American journal of hypertension},
  year = "2021"
}

Corrigendum to "Trajectories of vital signs in patients with COVID-19" [Resuscitation 156 (2020) 99-106].

Pimentel MAF et al. (2021), Resuscitation, 162, 91-92

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@article{corrigendumtotr-2021/5,
  title={Corrigendum to "Trajectories of vital signs in patients with COVID-19" [Resuscitation 156 (2020) 99-106].},
  author={Pimentel MAF et al.},
  journal={Resuscitation},
  volume={162},
  pages={91-92},
  year = "2021"
}

Correction: System Architecture for "Support Through Mobile Messaging and Digital Health Technology for Diabetes" (SuMMiT-D): Design and Performance in Pilot and Randomized Controlled Feasibility Studies.

Chi Y et al. (2021), JMIR formative research, 5(4), e29451

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@article{correctionsyste-2021/4,
  title={Correction: System Architecture for "Support Through Mobile Messaging and Digital Health Technology for Diabetes" (SuMMiT-D): Design and Performance in Pilot and Randomized Controlled Feasibility Studies.},
  author={Chi Y et al.},
  journal={JMIR formative research},
  volume={5},
  pages={e29451},
  publisher={JMIR Publications Inc.},
  year = "2021"
}

OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19.

Mahdi A et al. (2021), Scientific reports, 11(1), 9237

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@article{oxcoviddatabase-2021/4,
  title={OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19.},
  author={Mahdi A et al.},
  journal={Scientific reports},
  volume={11},
  pages={9237},
  year = "2021"
}

Vital sign monitoring using wearable devices in a Vietnamese intensive care unit

Van H et al. (2021), BMJ Innovations, 7(Supplement 1), S7-S11

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@article{vitalsignmonito-2021/3,
  title={Vital sign monitoring using wearable devices in a Vietnamese intensive care unit},
  author={Van H et al.},
  journal={BMJ Innovations},
  volume={7},
  pages={S7-S11},
  publisher={BMJ Publishing Group},
  year = "2021"
}

Wearable remote monitoring for patients with COVID-19 in low-resource settings: case study

Chau N et al. (2021), BMJ Innovations, 7(2021), S12-S15

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@article{wearableremotem-2021/3,
  title={Wearable remote monitoring for patients with COVID-19 in low-resource settings: case study},
  author={Chau N et al.},
  journal={BMJ Innovations},
  volume={7},
  pages={S12-S15},
  publisher={BMJ Publishing Group},
  year = "2021"
}

Toward a multivariate prediction model of pharmacological treatment for women with gestational diabetes mellitus: Algorithm development and validation

Velardo C et al. (2021), Journal of Medical Internet Research, 23(3)

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@article{towardamultivar-2021/3,
  title={Toward a multivariate prediction model of pharmacological treatment for women with gestational diabetes mellitus: Algorithm development and validation},
  author={Velardo C et al.},
  journal={Journal of Medical Internet Research},
  volume={23},
  number={e21435},
  publisher={JMIR Publications},
  year = "2021"
}

Vital sign monitoring using wearable devices in a Vietnamese intensive care unit

Van H et al. (2021), BMJ Innovations, 7(Supplement 1), S7-S11

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@article{vitalsignmonito-2021/3,
  title={Vital sign monitoring using wearable devices in a Vietnamese intensive care unit},
  author={Van H et al.},
  journal={BMJ Innovations},
  volume={7},
  pages={S7-S11},
  publisher={BMJ Publishing Group},
  year = "2021"
}

System architecture for "Support through Mobile Messaging and Digital Health Technology for Diabetes" (SuMMiT-D): Design and performance in pilot and randomized controlled feasibility studies

Chi Y et al. (2021), JMIR Formative Research, 5(3)

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@article{systemarchitect-2021/3,
  title={System architecture for "Support through Mobile Messaging and Digital Health Technology for Diabetes" (SuMMiT-D): Design and performance in pilot and randomized controlled feasibility studies},
  author={Chi Y et al.},
  journal={JMIR Formative Research},
  volume={5},
  number={e18460},
  publisher={JMIR Publications},
  year = "2021"
}

Toward a multivariate prediction model of pharmacological treatment for women with gestational diabetes mellitus: Algorithm development and validation

Velardo C et al. (2021), Journal of Medical Internet Research, 23(3)

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@article{towardamultivar-2021/3,
  title={Toward a multivariate prediction model of pharmacological treatment for women with gestational diabetes mellitus: Algorithm development and validation},
  author={Velardo C et al.},
  journal={Journal of Medical Internet Research},
  volume={23},
  number={e21435},
  publisher={JMIR Publications},
  year = "2021"
}

Discriminant knowledge extraction from electrocardiograms for automated diagnosis of myocardial infarction

Tadesse GA et al. (2021), Proceedings of PKAW 2021: Knowledge Management and Acquisition for Intelligent Systems, 12280, 70-82

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@inproceedings{discriminantkno-2021/2,
  title={Discriminant knowledge extraction from electrocardiograms for automated diagnosis of myocardial infarction},
  author={Tadesse GA et al.},
  booktitle={Principle and Practice of Data and Knowledge Acquisition Workshop},
  pages={70-82},
  year = "2021"
}

Comparison of parametric and non-parametric Bayesian inference for fusing sensory estimates in physiological time-series analysis

Zhu T, Javed H & Clifton D (2021), Healthcare Technology Letters, 8(2), 25-30

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@article{comparisonofpar-2021/2,
  title={Comparison of parametric and non-parametric Bayesian inference for fusing sensory estimates in physiological time-series analysis},
  author={Zhu T, Javed H & Clifton D},
  journal={Healthcare Technology Letters},
  volume={8},
  pages={25-30},
  publisher={Wiley},
  year = "2021"
}

Comparison of parametric and non-parametric Bayesian inference for fusing sensory estimates in physiological time-series analysis

Zhu T, Javed H & Clifton D (2021), Healthcare Technology Letters, 8(2), 25-30

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@article{comparisonofpar-2021/2,
  title={Comparison of parametric and non-parametric Bayesian inference for fusing sensory estimates in physiological time-series analysis},
  author={Zhu T, Javed H & Clifton D},
  journal={Healthcare Technology Letters},
  volume={8},
  pages={25-30},
  publisher={Wiley},
  year = "2021"
}

Detecting deteriorating patients in hospital: development and validation of a novel scoring system

Pimentel MAF et al. (2021), American Journal of Respiratory and Critical Care Medicine, 204(1), 44-52

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@article{detectingdeteri-2021/2,
  title={Detecting deteriorating patients in hospital: development and validation of a novel scoring system},
  author={Pimentel MAF et al.},
  journal={American Journal of Respiratory and Critical Care Medicine},
  volume={204},
  pages={44-52},
  publisher={American Thoracic Society},
  year = "2021"
}

SDNN24 estimation from semi-continuous HR measures

Morelli D, Rossi A, Bartoloni L & Cairo M (2021), Sensors, 21(4)

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@article{sdnnestimationf-2021/2,
  title={SDNN24 estimation from semi-continuous HR measures},
  author={Morelli D, Rossi A, Bartoloni L & Cairo M},
  journal={Sensors},
  volume={21},
  number={1463},
  publisher={MDPI},
  year = "2021"
}

Recommendation to use wearable-based mHealth in closed-loop management of acute cardiovascular disease patients during the COVID-19 pandemic

Ji N et al. (2021), IEEE Journal of Biomedical and Health Informatics, 25(4), 903-908

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@article{recommendationt-2021/2,
  title={Recommendation to use wearable-based mHealth in closed-loop management of acute cardiovascular disease patients during the COVID-19 pandemic},
  author={Ji N et al.},
  journal={IEEE Journal of Biomedical and Health Informatics},
  volume={25},
  pages={903-908},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2021"
}

DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence

Clifton DA, Collins G, Morgan L, Watkinson P & McCulloch P (2021), Nature Medicine, 27(2), 186-187

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@article{decideainewrepo-2021/2,
  title={DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence},
  author={Clifton DA, Collins G, Morgan L, Watkinson P & McCulloch P},
  journal={Nature Medicine},
  volume={27},
  pages={186-187},
  publisher={Nature},
  year = "2021"
}

Detecting deteriorating patients in hospital: development and validation of a novel scoring system

Pimentel MAF et al. (2021), American Journal of Respiratory and Critical Care Medicine, 204(1), 44-52

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@article{detectingdeteri-2021/2,
  title={Detecting deteriorating patients in hospital: development and validation of a novel scoring system},
  author={Pimentel MAF et al.},
  journal={American Journal of Respiratory and Critical Care Medicine},
  volume={204},
  pages={44-52},
  publisher={American Thoracic Society},
  year = "2021"
}

Early risk assessment for COVID-19 patients from emergency department data using machine learning.

Heldt FS et al. (2021), Scientific reports, 11(1), 4200

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@article{earlyriskassess-2021/2,
  title={Early risk assessment for COVID-19 patients from emergency department data using machine learning.},
  author={Heldt FS et al.},
  journal={Scientific reports},
  volume={11},
  pages={4200},
  year = "2021"
}

Machine learning in patient flow: a review

El-Bouri R, Taylor T, Youssef A, Zhu T & Clifton D (2021), Progress in Biomedical Engineering, 3(2 )

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@article{machinelearning-2021/1,
  title={Machine learning in patient flow: a review},
  author={El-Bouri R, Taylor T, Youssef A, Zhu T & Clifton D},
  journal={Progress in Biomedical Engineering},
  volume={3},
  number={022002},
  publisher={IOP Publishing},
  year = "2021"
}

Machine learning in patient flow: a review

El-Bouri R, Taylor T, Youssef A, Zhu T & Clifton D (2021), Progress in Biomedical Engineering, 3(2 )

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@article{machinelearning-2021/1,
  title={Machine learning in patient flow: a review},
  author={El-Bouri R, Taylor T, Youssef A, Zhu T & Clifton D},
  journal={Progress in Biomedical Engineering},
  volume={3},
  number={022002},
  publisher={IOP Publishing},
  year = "2021"
}

Global seroprevalence of SARS-CoV-2 antibodies: A systematic review and meta-analysis.

Bobrovitz N et al. (2021), PloS one, 16(6), e0252617

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@article{globalseropreva-2021/1,
  title={Global seroprevalence of SARS-CoV-2 antibodies: A systematic review and meta-analysis.},
  author={Bobrovitz N et al.},
  journal={PloS one},
  volume={16},
  pages={e0252617},
  year = "2021"
}

Using machine learning to predict anticoagulation control in atrial fibrillation: A UK Clinical Practice Research Datalink study

Gordon J et al. (2021), Informatics in Medicine Unlocked, 25

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@article{usingmachinelea-2021/1,
  title={Using machine learning to predict anticoagulation control in atrial fibrillation: A UK Clinical Practice Research Datalink study},
  author={Gordon J et al.},
  journal={Informatics in Medicine Unlocked},
  volume={25},
  year = "2021"
}

Interactive Effects of Heart Rate Variability and P-QRS-T on the Power Density Spectra of ECG Signals

Xiang T, Ji N, Clifton DA, Lu L & Zhang Y (2021), IEEE Journal of Biomedical and Health Informatics

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@article{interactiveeffe-2021/1,
  title={Interactive Effects of Heart Rate Variability and P-QRS-T on the Power Density Spectra of ECG Signals},
  author={Xiang T, Ji N, Clifton DA, Lu L & Zhang Y},
  journal={IEEE Journal of Biomedical and Health Informatics},
  year = "2021"
}

Dynamic Neural Graphs Based Federated Reptile for Semi-supervised Multi-Tasking in Healthcare Applications

Thakur A, Sharma P & Clifton DA (2021), IEEE Journal of Biomedical and Health Informatics, 1-1

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@article{dynamicneuralgr-2021/1,
  title={Dynamic Neural Graphs Based Federated Reptile for Semi-supervised Multi-Tasking in Healthcare Applications},
  author={Thakur A, Sharma P & Clifton DA},
  journal={IEEE Journal of Biomedical and Health Informatics},
  pages={1-1},
  publisher={Institute of Electrical and Electronics Engineers (IEEE)},
  year = "2021"
}

Deep Learning Classification of Cardiomegaly Using Combined Imaging and Non-imaging ICU Data

Grant D, Papie┼╝ BW, Parsons G, Tarassenko L & Mahdi A (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12722 LNCS, 547-558

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@inproceedings{deeplearningcla-2021/1,
  title={Deep Learning Classification of Cardiomegaly Using Combined Imaging and Non-imaging ICU Data},
  author={Grant D, Papie┼╝ BW, Parsons G, Tarassenko L & Mahdi A},
  pages={547-558},
  year = "2021"
}

Real-world evaluation of AI driven COVID-19 triage for emergency admissions: External validation & operational assessment of lab-free and high-throughput screening solutions

Zhu T et al. (2021)

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@misc{realworldevalua-2021/,
  title={Real-world evaluation of AI driven COVID-19 triage for emergency admissions: External validation & operational assessment of lab-free and high-throughput screening solutions},
  author={Zhu T et al.},
  year = "2021"
}

Let your heart speak in its mother tongue: Multilingual captioning of cardiac signals

Kiyasseh D, Zhu T & Clifton D (2021), arXiv

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@article{letyourheartspe-2021/,
  title={Let your heart speak in its mother tongue: Multilingual captioning of cardiac signals},
  author={Kiyasseh D, Zhu T & Clifton D},
  journal={arXiv},
  year = "2021"
}