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Cutaneous signs of selected cardiovascular disorders: A narrative review

Open medicine (Warsaw, Poland), 2024-01, Vol.19 (1), p.20240897-20240897

2024

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A Systematic Review of Network Meta-Analyses and Real-World Evidence Comparing Apixaban and Rivaroxaban in Nonvalvular Atrial Fibrillation

Clinical and applied thrombosis/hemostasis, 2020, Vol.26, p.1076029619898764-1076029619898764

2020

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Application of a machine learning algorithm for detection of atrial fibrillation in secondary care

International journal of cardiology. Heart & vasculature, 2020-12, Vol.31, p.100674-100674, Article 100674

2020

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Undertaking multi-centre randomised controlled trials in primary care: learnings and recommendations from the PULsE-AI trial researchers

BMC primary care, 2024-01, Vol.25 (1), p.7-7, Article 7

2024

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

Informatics in medicine unlocked, 2021, Vol.25, p.100688, Article 100688

2021

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Knowledge, attitudes, and practices of the general population of Pakistan regarding typhoid conjugate vaccine: findings of a cross-sectional study

Frontiers in public health, 2023-06, Vol.11, p.1151936-1151936

2023

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Budget impact analysis of a machine learning algorithm to predict high risk of atrial fibrillation among primary care patients

Europace (London, England), 2022-09, Vol.24 (8), p.1240-1247

2022

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Detecting undiagnosed atrial fibrillation in UK primary care: Validation of a machine learning prediction algorithm in a retrospective cohort study

European journal of preventive cardiology, 2021-05, Vol.28 (6), p.598

2021

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Meta-Analysis Comparing Apixaban Versus Rivaroxaban for Management of Patients With Nonvalvular Atrial Fibrillation

The American journal of cardiology, 2022-03, Vol.166, p.58-64

2022

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Commentary

Journal of the Intensive Care Society, 2013-10, Vol.14 (4), p.366-366

Farooqui, Usman

2013

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Commentary

Journal of the Intensive Care Society, 2013-10, Vol.14 (4), p.366-366

Farooqui, Usman

2013

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Cost-effectiveness of targeted screening for the identification of patients with atrial fibrillation: evaluation of a machine learning risk prediction algorithm

Journal of medical economics, 2020-04, Vol.23 (4), p.386-393

2020

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Peritoneal Dialysis and In-Centre Haemodialysis: A Cost-Utility Analysis from a UK Payer Perspective

Applied health economics and health policy, 2014-08, Vol.12 (4), p.409-420

2014

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Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised controlled trial

Contemporary clinical trials, 2020-12, Vol.99, p.106191-106191, Article 106191

2020

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Detecting undiagnosed atrial fibrillation in UK primary care: Validation of a machine learning prediction algorithm in a retrospective cohort study

European journal of preventive cardiology, 2020-08, p.2047487320942338

2020

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Retrospective observational study of adults with suspected H1N1 admitted to the Regional Infection Unit in Aberdeen: Category: Scientific free paper

The Journal of infection, 2011-12, Vol.63 (6), p.e89-e90

2011

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Retrospective observational study of adults with suspected H1N1 admitted to the Regional Infection Unit in Aberdeen

The Journal of infection, 2011-12, Vol.63 (6), p.e89-e90

2011

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Mo1505 ENDOSCOPIC RADIOFREQUENCY ABLATION PLUS SELF EXPANDABLE METAL STENTS VERSUS STANDALONE SELF EXPANDABLE METAL STENTS IN THE MANAGEMENT OF MALIGNANT BILIARY OBSTRUCTION: A SYSTEMATIC REVIEW AND META ANALYSIS

Gastroenterology (New York, N.Y. 1943), 2023-05, Vol.164 (6), p.S-1356-S-1357

2023

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ARGON PLASMA COAGULATION VERSUS ENDOSCOPIC SURVEILLANCE FOR LOW-GRADE BARRETT'S ESOPHAGUS : A SYSTEMATIC REVIEW AND META-ANALYSIS

Gastrointestinal endoscopy, 2023-06, Vol.97 (6), p.AB1040-AB1041

2023

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ARGON PLASMA COAGULATION VERSUS ENDOSCOPIC SURVEILLANCE FOR LOW-GRADE BARRETT'S ESOPHAGUS: A SYSTEMATIC REVIEW AND META-ANALYSIS

Gastrointestinal endoscopy, 2023-06, Vol.97 (6), p.AB956-AB957

2023

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Role and mechanism of autophagy‐regulating factors in tumorigenesis and drug resistance

Asia-Pacific journal of clinical oncology, 2021-06, Vol.17 (3), p.193-208

2021

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High-intensity circuit training for improving anthropometric parameters for women from low socioeconomic communities of Sikandarabad: A clinical trial

PloS one, 2022-10, Vol.17 (10), p.e0275895-e0275895

2022

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COMPARATIVE EFFICACY AND SAFETY OF PULSE FIELD ABLATION VS. CRYOABLATION AND RADIOFREQUENCY ABLATION IN THE TREATMENT OF ATRIAL FIBRILLATION: A SYSTEMATIC REVIEW AND META-ANALYSIS

Journal of the American College of Cardiology, 2024-04, Vol.83 (13), p.196-196

2024

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Effects of nonimmersive virtual reality using Wii-Fit exercises on balance and cognition in Parkinson disease: A meta-analysis

Medicine (Baltimore), 2024-07, Vol.103 (30), p.e38940

2024

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Cutaneous signs of selected cardiovascular disorders: A narrative review

A Systematic Review of Network Meta-Analyses and Real-World Evidence Comparing Apixaban and Rivaroxaban in Nonvalvular Atrial Fibrillation

Application of a machine learning algorithm for detection of atrial fibrillation in secondary care

Undertaking multi-centre randomised controlled trials in primary care: learnings and recommendations from the PULsE-AI trial researchers

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

Knowledge, attitudes, and practices of the general population of Pakistan regarding typhoid conjugate vaccine: findings of a cross-sectional study

Budget impact analysis of a machine learning algorithm to predict high risk of atrial fibrillation among primary care patients

Detecting undiagnosed atrial fibrillation in UK primary care: Validation of a machine learning prediction algorithm in a retrospective cohort study

Meta-Analysis Comparing Apixaban Versus Rivaroxaban for Management of Patients With Nonvalvular Atrial Fibrillation

Commentary

Commentary

Cost-effectiveness of targeted screening for the identification of patients with atrial fibrillation: evaluation of a machine learning risk prediction algorithm

Peritoneal Dialysis and In-Centre Haemodialysis: A Cost-Utility Analysis from a UK Payer Perspective

Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised controlled trial

Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: cost-effectiveness of a screening strategy evaluated in a randomized controlled trial in England

Detecting undiagnosed atrial fibrillation in UK primary care: Validation of a machine learning prediction algorithm in a retrospective cohort study

Retrospective observational study of adults with suspected H1N1 admitted to the Regional Infection Unit in Aberdeen: Category: Scientific free paper

Retrospective observational study of adults with suspected H1N1 admitted to the Regional Infection Unit in Aberdeen

Mo1505 ENDOSCOPIC RADIOFREQUENCY ABLATION PLUS SELF EXPANDABLE METAL STENTS VERSUS STANDALONE SELF EXPANDABLE METAL STENTS IN THE MANAGEMENT OF MALIGNANT BILIARY OBSTRUCTION: A SYSTEMATIC REVIEW AND META ANALYSIS

ARGON PLASMA COAGULATION VERSUS ENDOSCOPIC SURVEILLANCE FOR LOW-GRADE BARRETT'S ESOPHAGUS : A SYSTEMATIC REVIEW AND META-ANALYSIS

ARGON PLASMA COAGULATION VERSUS ENDOSCOPIC SURVEILLANCE FOR LOW-GRADE BARRETT'S ESOPHAGUS: A SYSTEMATIC REVIEW AND META-ANALYSIS

Role and mechanism of autophagy‐regulating factors in tumorigenesis and drug resistance

High-intensity circuit training for improving anthropometric parameters for women from low socioeconomic communities of Sikandarabad: A clinical trial

COMPARATIVE EFFICACY AND SAFETY OF PULSE FIELD ABLATION VS. CRYOABLATION AND RADIOFREQUENCY ABLATION IN THE TREATMENT OF ATRIAL FIBRILLATION: A SYSTEMATIC REVIEW AND META-ANALYSIS

Effects of nonimmersive virtual reality using Wii-Fit exercises on balance and cognition in Parkinson disease: A meta-analysis

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