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Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
(2024-05-18)
Article
Open AccessDetailed, comprehensive, and timely reporting on population health by underlying causes of disability and premature death is crucial to understanding and responding to complex patterns of disease and injury burden over ... -
Global, regional, and national burden of disorders affecting the nervous system, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021
(2024-03-14)
Article
Open AccessBackground Disorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous ... -
Unraveling the link between birth order and blood pressure: insights from a comprehensive systematic review and meta-analysis
(Canadian Science Publishing, 2025-03-27)
Article
Open AccessThe objective of the present systematic review was to incorporate previous studies investigating the association of birth order with the risk of systolic and diastolic blood pressure (DBP). We employed random-effects and ... -
Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
(Elsevier, 2024-05-18)
Article
Open AccessRegular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide ... -
Repetitive active and passive cognitive stimulations induce EEG changes in patients with Rett syndrome
(Springer, 2024-07-16)
Article
Open AccessBackground: Despite being considered a rare disease, Rett syndrome is a leading cause of profound cognitive impairment in females. This study explores game-based cognitive stimulation to enhance attention during learning ... -
AML-DECODER: advanced machine learning for HD-sEMG signal classification—decoding lateral epicondylitis in forearm muscles
(2024-10-10)
Article
Open AccessBackground: Innovative algorithms for wearable devices and garments are critical for diagnosing and monitoring disease (such as lateral epicondylitis (LE)) progression. LE affects individuals across various professions and ... -
EEG connectivity patterns in response to gaming and learning-based cognitive stimulations in Rett syndrome
(Elsevier, 2024-07)
Article
Open AccessBackground: Functional connectivity is scarcely studied in Rett syndrome (RTT). Explorations revealed associations between RTT's clinical, genetic profiles, and coherence measures, highlighting an unexplored frontier in ... -
Prevention of cardiometabolic syndrome in children and adolescents using machine learning and noninvasive factors: the CASPIAN-V study
(Multidisciplinary Digital Publishing Institute (MDPI), 2024-09-13)
Article
Open AccessCardiometabolic syndrome (CMS) is a growing concern in children and adolescents, marked by obesity, hypertension, insulin resistance, and dyslipidemia. This study aimed to predict CMS using machine learning based on data ... -
Novel frequency-based approach for detection of steady-state visual evoked potentials for realization of practical brain computer interfaces
(Taylor & Francis Group, 2022-03-13)
Article
Open AccessVarious algorithms for recognizing Steady-State Visual Evoked Potentials have been proposed over the last decade for realizing Brain-Computer Interfaces. However, frequency-domain techniques aside from classical FFT have ... -
Individualized time windows enhance TMS-EEG signal characterization and improve assessment of cortical function in schizophrenia
(2025-04)
Article
Open AccessTranscranial magnetic stimulation and electroencephalography (TMS-EEG) recordings are crucial to directly assess cortical excitability and inhibition in a non-invasive and task-free manner. TMS-EEG signals are characterized ... -
Semi-supervised active transfer learning for fetal ECG arrhythmia detection
(Elsevier, 2023)
Article
Open AccessDeep learning has demonstrated excellent results for ECG anomaly detection, wherein most approaches used supervised learning. The requirement of thousands of manually annotated samples is a concern for state-of-the-art ... -
The burden of type 1 and type 2 diabetes among adolescents and young adults in 24 Western European countries, 1990–2019: Results from the Global Burden of Disease Study 2019
(Frontiers Media SA, 2024-02-14)
Article
Open AccessObjectives: As little is known about the burden of type 1 (T1DM) and type 2 diabetes (T2DM) in adolescents in Western Europe (WE), we aimed to explore their epidemiology among 10–24 year-olds. Methods: Estimates were ...
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