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Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records

Scientific reports, 2021-10, Vol.11 (1), p.20685-20685, Article 20685

2021

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Publisher Correction: Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records

Scientific reports, 2021-11, Vol.11 (1), p.22254-22254, Article 22254

2021

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Long-Term Exposure to Elevated Systolic Blood Pressure in Predicting Incident Cardiovascular Disease: Evidence From Large-Scale Routine Electronic Health Records

Journal of the American Heart Association, 2019-06, Vol.8 (12), p.e012129

2019

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BEHRT: Transformer for Electronic Health Records

Scientific reports, 2020-04, Vol.10 (1), p.7155-7155, Article 7155

2020

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Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers

NeuroImage (Orlando, Fla.), 2014-04, Vol.90, p.449-468

2014

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A meta-analysis of sex differences in human brain structure

Neuroscience and biobehavioral reviews, 2014-02, Vol.39 (100), p.34-50

2014

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Deep learning for electronic health records: A comparative review of multiple deep neural architectures

Journal of biomedical informatics, 2020-01, Vol.101, p.103337-103337, Article 103337

2020

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Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records

PLoS medicine, 2018-11, Vol.15 (11), p.e1002695-e1002695

2018

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Functional connectomics from resting-state fMRI

Trends in cognitive sciences, 2013-12, Vol.17 (12), p.666-682

2013

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Meta-analytic evidence for neuroimaging models of depression: State or trait?

Journal of affective disorders, 2013-11, Vol.151 (2), p.423-431

2013

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Adjusting the effect of nonstationarity in cluster-based and TFCE inference

NeuroImage (Orlando, Fla.), 2011-02, Vol.54 (3), p.2006-2019

2011

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Association between cardiometabolic disease multimorbidity and all-cause mortality in 2 million women and men registered in UK general practices

BMC medicine, 2021-10, Vol.19 (1), p.1-258, Article 258

2021

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Functional connectivity in the basal ganglia network differentiates PD patients from controls

Neurology, 2014-07, Vol.83 (3), p.208-214

2014

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Meta-analysis of neuroimaging data: A comparison of image-based and coordinate-based pooling of studies

NeuroImage (Orlando, Fla.), 2009-04, Vol.45 (3), p.810-823

2009

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Investigating the association of environmental exposures and all-cause mortality in the UK Biobank using sparse principal component analysis

Scientific reports, 2022-06, Vol.12 (1), p.9239-10, Article 9239

2022

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Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring

Remote sensing (Basel, Switzerland), 2022-07, Vol.14 (13), p.3072

2022

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Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis

Scientific reports, 2023-07, Vol.13 (1), p.11478-11478, Article 11478

2023

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Diagnostic tests, drug prescriptions, and follow-up patterns after incident heart failure: A cohort study of 93,000 UK patients

PLoS medicine, 2019-05, Vol.16 (5), p.e1002805-e1002805

2019

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Multi-morbidity and blood pressure trajectories in hypertensive patients: A multiple landmark cohort study

PLoS medicine, 2021-06, Vol.18 (6), p.e1003674-e1003674

2021

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Referral for Specialist Follow-Up and its Association with Post-Discharge Mortality among Patients with Systolic Heart Failure (From the National Heart Failure Audit for England & Wales)

The American journal of cardiology, 2017-02, Vol.119 (3), p.440-444

2017

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Variation in hospital performance for heart failure management in the National Heart Failure Audit for England and Wales

Heart (British Cardiac Society), 2017-01, Vol.103 (1), p.55-62

2017

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Pharmacological blood pressure lowering for primary and secondary prevention of cardiovascular disease across different levels of blood pressure: an individual participant-level data meta-analysis

The Lancet (British edition), 2021-05, Vol.397 (10285), p.1625-1636

2021

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Age-stratified and blood-pressure-stratified effects of blood-pressure-lowering pharmacotherapy for the prevention of cardiovascular disease and death: an individual participant-level data meta-analysis

The Lancet (British edition), 2021-09, Vol.398 (10305), p.1053-1064

2021

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Untangling the complexity of multimorbidity with machine learning

Mechanisms of ageing and development, 2020-09, Vol.190, p.111325-111325, Article 111325

2020

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Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records

IEEE transaction on neural networks and learning systems, 2024-04, Vol.35 (4), p.5027-5038

2024

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Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records

Publisher Correction: Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records

Long-Term Exposure to Elevated Systolic Blood Pressure in Predicting Incident Cardiovascular Disease: Evidence From Large-Scale Routine Electronic Health Records

BEHRT: Transformer for Electronic Health Records

Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers

A meta-analysis of sex differences in human brain structure

Deep learning for electronic health records: A comparative review of multiple deep neural architectures

Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records

Functional connectomics from resting-state fMRI

Meta-analytic evidence for neuroimaging models of depression: State or trait?

Adjusting the effect of nonstationarity in cluster-based and TFCE inference

Association between cardiometabolic disease multimorbidity and all-cause mortality in 2 million women and men registered in UK general practices

Functional connectivity in the basal ganglia network differentiates PD patients from controls

Meta-analysis of neuroimaging data: A comparison of image-based and coordinate-based pooling of studies

Investigating the association of environmental exposures and all-cause mortality in the UK Biobank using sparse principal component analysis

Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring

Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis

Diagnostic tests, drug prescriptions, and follow-up patterns after incident heart failure: A cohort study of 93,000 UK patients

Multi-morbidity and blood pressure trajectories in hypertensive patients: A multiple landmark cohort study

Referral for Specialist Follow-Up and its Association with Post-Discharge Mortality among Patients with Systolic Heart Failure (From the National Heart Failure Audit for England & Wales)

Variation in hospital performance for heart failure management in the National Heart Failure Audit for England and Wales

Pharmacological blood pressure lowering for primary and secondary prevention of cardiovascular disease across different levels of blood pressure: an individual participant-level data meta-analysis

Age-stratified and blood-pressure-stratified effects of blood-pressure-lowering pharmacotherapy for the prevention of cardiovascular disease and death: an individual participant-level data meta-analysis

Untangling the complexity of multimorbidity with machine learning

Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records

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