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Detection of COVID-19 in smartphone-based breathing recordings: A pre-screening deep learning tool

PloS one, 2022-01, Vol.17 (1), p.e0262448-e0262448

2022

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Investigation on explainable machine learning models to predict chronic kidney diseases

Scientific reports, 2024-02, Vol.14 (1), p.3687-15, Article 3687

2024

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Author Correction: A machine learning driven nomogram for predicting chronic kidney disease stages 3–5

Scientific reports, 2024-01, Vol.14 (1), p.1317-1317, Article 1317

2024

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A machine learning driven nomogram for predicting chronic kidney disease stages 3–5

Scientific reports, 2023-12, Vol.13 (1), p.21613-14, Article 21613

2023

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Progress in Brain Computer Interface: Challenges and Opportunities

Frontiers in systems neuroscience, 2021-02, Vol.15, p.578875-578875

2021

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A machine learning driven monogram for predicting chronic kidney disease stages 3-5

Scientific reports, 2023-12, Vol.13 (1), p.21613

2023

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Quantifying the Interactions between Maternal and Fetal Heart Rates by Transfer Entropy

PloS one, 2015-12, Vol.10 (12), p.e0145672-e0145672

2015

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The gold-standard treatment for social anxiety disorder: A roadmap for the future

Frontiers in psychology, 2023-01, Vol.13, p.1070975

2023

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Effect of depression on phase coherence between respiratory sinus arrhythmia and respiration during sleep in patients with obstructive sleep apnea

Frontiers in physiology, 2023-09, Vol.14, p.1181750-1181750

2023

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Diagnostic accuracy of keystroke dynamics as digital biomarkers for fine motor decline in neuropsychiatric disorders: a systematic review and meta-analysis

Scientific reports, 2022-05, Vol.12 (1), p.7690-7690, Article 7690

2022

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Identification of Congenital Valvular Murmurs in Young Patients Using Deep Learning-Based Attention Transformers and Phonocardiograms

IEEE journal of biomedical and health informatics, 2024-04, Vol.28 (4), p.1803-1814

2024

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Inflammation, oxidative stress and mitochondrial dysfunction in the progression of type II diabetes mellitus with coexisting hypertension

Frontiers in endocrinology (Lausanne), 2023-06, Vol.14, p.1173402-1173402

2023

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Prediction of heart failure patients with distinct left ventricular ejection fraction levels using circadian ECG features and machine learning

PloS one, 2024-05, Vol.19 (5), p.e0302639-e0302639

2024

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Editorial: Sensor technologies and biosignal processing methods to explore the physiological functions of proprioception

Frontiers in physiology, 2023-03, Vol.14, p.1172374-1172374

2023

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Strategies for combating prejudice against Muslims in Australia

Humanities & social sciences communications, 2024-12, Vol.11 (1), p.69-7, Article 69

2024

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Investigating the effects of beta-blockers on circadian heart rhythm using heart rate variability in ischemic heart disease with preserved ejection fraction

Scientific reports, 2023-04, Vol.13 (1), p.5828-5828, Article 5828

2023

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A two-step pre-processing tool to remove Gaussian and ectopic noise for heart rate variability analysis

Scientific reports, 2022-11, Vol.12 (1), p.18396-18396, Article 18396

2022

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Editorial: Advances in techniques for measurement and assessment of physiological processes in developing animals

Frontiers in physiology, 2023-10, Vol.14, p.1297691-1297691

2023

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Investigating automated regression models for estimating left ventricular ejection fraction levels in heart failure patients using circadian ECG features

PloS one, 2023-12, Vol.18 (12), p.e0295653-e0295653

2023

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LAG3 Expression in Active Mycobacterium tuberculosis Infections

The American journal of pathology, 2015-03, Vol.185 (3), p.820-833

2015

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An experimental study on the carbon conversion efficiency and emission indices of air and steam co-flow diffusion jet flames

Fuel (Guildford), 2021-03, Vol.287, p.119534, Article 119534

2021

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Transient pain and discomfort when wearing high-heeled shoes

Scientific reports, 2024-04, Vol.14 (1), p.9291-9291, Article 9291

2024

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Estimating Left Ventricle Ejection Fraction Levels Using Circadian Heart Rate Variability Features and Support Vector Regression Models

IEEE journal of biomedical and health informatics, 2021-03, Vol.25 (3), p.746-754

2021

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Hypertension in diabetes and the risk of cardiovascular disease

Cardiovascular endocrinology, 2017-03, Vol.6 (1), p.33-38

2017

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A scoping review of neurodegenerative manifestations in explainable digital phenotyping

NPJ Parkinson's Disease, 2023-03, Vol.9 (1), p.49-49, Article 49

2023

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Detection of COVID-19 in smartphone-based breathing recordings: A pre-screening deep learning tool

Investigation on explainable machine learning models to predict chronic kidney diseases

Author Correction: A machine learning driven nomogram for predicting chronic kidney disease stages 3–5

A machine learning driven nomogram for predicting chronic kidney disease stages 3–5

Progress in Brain Computer Interface: Challenges and Opportunities

A machine learning driven monogram for predicting chronic kidney disease stages 3-5

Quantifying the Interactions between Maternal and Fetal Heart Rates by Transfer Entropy

The gold-standard treatment for social anxiety disorder: A roadmap for the future

Effect of depression on phase coherence between respiratory sinus arrhythmia and respiration during sleep in patients with obstructive sleep apnea

Diagnostic accuracy of keystroke dynamics as digital biomarkers for fine motor decline in neuropsychiatric disorders: a systematic review and meta-analysis

Identification of Congenital Valvular Murmurs in Young Patients Using Deep Learning-Based Attention Transformers and Phonocardiograms

Inflammation, oxidative stress and mitochondrial dysfunction in the progression of type II diabetes mellitus with coexisting hypertension

Prediction of heart failure patients with distinct left ventricular ejection fraction levels using circadian ECG features and machine learning

Editorial: Sensor technologies and biosignal processing methods to explore the physiological functions of proprioception

Strategies for combating prejudice against Muslims in Australia

Investigating the effects of beta-blockers on circadian heart rhythm using heart rate variability in ischemic heart disease with preserved ejection fraction

A two-step pre-processing tool to remove Gaussian and ectopic noise for heart rate variability analysis

Editorial: Advances in techniques for measurement and assessment of physiological processes in developing animals

Investigating automated regression models for estimating left ventricular ejection fraction levels in heart failure patients using circadian ECG features

LAG3 Expression in Active Mycobacterium tuberculosis Infections

An experimental study on the carbon conversion efficiency and emission indices of air and steam co-flow diffusion jet flames

Transient pain and discomfort when wearing high-heeled shoes

Estimating Left Ventricle Ejection Fraction Levels Using Circadian Heart Rate Variability Features and Support Vector Regression Models

Hypertension in diabetes and the risk of cardiovascular disease

A scoping review of neurodegenerative manifestations in explainable digital phenotyping

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