A5021422275- Mental Health Research Topics
- Mobile Health and mHealth Applications
- Nutritional Studies and Diet
- Obesity, Physical Activity, Diet
- Phonocardiography and Auscultation Techniques
- COVID-19 and Mental Health
- ECG Monitoring and Analysis
- EEG and Brain-Computer Interfaces
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Behavioral Health and Interventions
- Innovative Human-Technology Interaction
- Decision-Making and Behavioral Economics
- Thyroid and Parathyroid Surgery
- Neural and Behavioral Psychology Studies
- COVID-19 diagnosis using AI
- Thyroid Cancer Diagnosis and Treatment
- Machine Learning in Healthcare
- Coronary Interventions and Diagnostics
- Vaccine Coverage and Hesitancy
- Parathyroid Disorders and Treatments
- Color perception and design
- Context-Aware Activity Recognition Systems
- Music and Audio Processing
- Heart Rate Variability and Autonomic Control
- Acute Myocardial Infarction Research
Northwestern University
2022-2025
Aristotle University of Thessaloniki
2017-2024
Massachusetts General Hospital
2022
Centre for Research and Technology Hellas
2017
Respiratory diseases constitute one of the leading causes death worldwide and directly affect patient's quality life. Early diagnosis patient monitoring, which conventionally include lung auscultation, are essential for efficient management respiratory diseases. Manual sound interpretation is a subjective time-consuming process that requires high medical expertise. The capabilities deep learning offers could be exploited in order robust classification models can designed. In this paper, we...
(1) Background: Rectal prolapse is a benign condition that mainly affects females and the elderly. The most common symptoms are constipation incontinence. treatment of choice surgical, but so far, there has been no gold standard method. aim this study to compare two intrabdominal procedures utilized for treating rectal prolapse: resection rectopexy mesh rectopexy. (2) Methods: In study, we conducted thorough systematic review meta-analysis available literature compared different approaches...
Although the mental health impacts of COVID-19 on general population have been well studied, studies long-term infected individuals are relatively new. To date, depression, anxiety, and neurological symptoms associated with post-COVID-19 syndrome (PCS) observed in months following recovery. Suicidal thoughts behavior (STB) also preliminarily proposed as sequelae COVID-19.We asked 3 questions. First, do participants reporting a history diagnosis or close relative having severe score higher...
Despite COVID-19 vaccine mandates, many chose to forgo vaccination, raising questions about the psychology underlying how judgment affects these choices. Research shows that reward and aversion judgments are important for vaccination choice; however, no studies have integrated such cognitive science with machine learning predict uptake.
Abstract Background Coronary artery disease (CAD) remains one of the leading causes mortality and morbidity worldwide. As oxygen nutrient supply to myocardium significantly decrease during ischemic periods, important changes occur regarding myocardial intermediary energy metabolism. Metabolomics is an emerging field in systems biology, which quantifies metabolic response progression. This study aims evaluate diagnostic utility plasma metabolomics-based biomarkers for determining complexity...
Patients with respiratory conditions typically exhibit adventitious sounds (ARS), such as wheezes and crackles. In recent years, computerized methods for analyzing function, namely ARS, have gained increased attention within the scientific community. Such primarily aim to facilitate diagnosing monitoring patients suffering from diseases. this work, we propose a deep learning model automatic classification of proposed tasks "IEEE BioCAS 2023 Grand Challenge on Respiratory Sound...
Abstract The prediction of suicidal thought and behavior has met with mixed results. This study 3,476 de-identified participants (4,019 before data exclusion) quantified the four (STB) variables using a short reward/aversion judgment task limited set demographic mental health surveys. focus was to produce simple, quick objective framework for assessing STB that might be automatable, without use big data. A balanced random forest classifier performed better than Gaussian mixture model...
The GRACE score constitutes a useful tool for risk stratification in patients with acute coronary syndrome (ACS), while the SYNTAX determines complexity of artery disease (CAD). This study sought to correlate these scores and assess accuracy predicting extent CAD. A total 539 ACS undergoing angiography were included this analysis. classified into those < 33 ≥ 33. Spearman's correlation receiver operator characteristic analysis conducted investigate role as predictor score. There was...
Background: The COVID-19 pandemic has impacted children’s lifestyles, including dietary behaviors. Of particular concern among these behaviors is the heightened prevalence of ultra-processed food (UPF) consumption, which been linked to development obesity and related non-communicable diseases. present study examines changes in (1) UPF (2) vegetable and/or fruit consumption school-aged children Greece Sweden before during pandemic. Methods: analyzed dataset consisted main meal pictures...
Background: Angiographic detection of thrombus in STEMI is associated with adverse outcomes. However, routine aspiration failed to demonstrate the anticipated benefit. Hence, management high coronary burden remains challenging. We sought assess for first time extracted thrombotic material characteristics utilizing micro-computed tomography (micro-CT). Methods: One hundred thirteen patients undergoing were enrolled. Micro-CT was undertaken quantify retrieved volume, surface, and density....
Obesity is a major public health problem globally and in Europe. The prevalence of childhood obesity also soaring. Several parameters the living environment are contributing to this increase, such as density fast food retailers, thus, preventive policies against must focus on which children exposed. Currently, there no systems place objectively measure effect obesogenic behaviors obesity. H2020 project "BigO: Big Data Against Childhood Obesity" aims tackle by creating new sources evidence...
Obesity is a complex disease and its prevalence depends on multiple factors related to the local socioeconomic, cultural urban context of individuals. Many obesity prevention strategies policies, however, are horizontal measures that do not depend context-specific evidence. In this paper we present an overview BigO (http://bigoprogram.eu), system designed collect objective behavioral data from children adolescent populations as well their environment in order support public health...
Abstract Anxiety, a condition characterized by intense fear and persistent worry, affects millions each year and, when severe, is distressing functionally impairing. Numerous machine learning frameworks have been developed tested to predict features of anxiety traits. This study extended these approaches using small set interpretable judgment variables ( n = 15) contextual (demographics, perceived loneliness, COVID-19 history) (1) understand the relationships between (2) develop framework...
Monitoring and treatment of severely ill COVID-19 patients in the ICU poses many challenges. The effort to understand pathophysiology progress disease requires high-quality annotated multi-parameter databases. We present CoCross, a platform that enables monitoring fusion clinical information from in-ICU into an database. CoCross consists three components: (1) CoCross4Pros native android application, modular managing interaction with portable medical devices, (2) cloud-based data management...
The COVID-19 disease results from infection by the SARS-CoV-2 virus to produce a range of mild severe physical, neurological, and mental health symptoms. pandemic has indirectly caused significant emotional distress, triggering emergence symptoms in individuals who were not previously affected or exacerbating those with existing conditions. Emotional distress certain conditions can lead violent ideation disruptive behavior, including aggression, threatening acts, deliberate harm toward other...