A5011039541- Machine Learning in Healthcare
- Artificial Intelligence in Healthcare
- Complex Network Analysis Techniques
- Traumatic Brain Injury Research
- Cardiac Arrest and Resuscitation
- Traumatic Brain Injury and Neurovascular Disturbances
- Cancer Immunotherapy and Biomarkers
- Opinion Dynamics and Social Influence
- Neural Networks and Applications
- Chronic Disease Management Strategies
- AI and HR Technologies
- Time Series Analysis and Forecasting
- Biomedical Text Mining and Ontologies
- Nutrition and Health in Aging
- Sentiment Analysis and Opinion Mining
- Media Influence and Health
- Brain Metastases and Treatment
- Melanoma and MAPK Pathways
- Cardiac Arrhythmias and Treatments
- Acute Myocardial Infarction Research
- Cardiovascular Issues in Pregnancy
- Heart Failure Treatment and Management
- Frailty in Older Adults
- Peripheral Nerve Disorders
- Artificial Intelligence in Healthcare and Education
Bar-Ilan University
2017-2025
Humanitas University
2023
Abstract The present paper proposes a conceptual ontology to evaluate human factors by modelling their key performance indicators and defining these indicators' explanatory factors, manifestations, diverse corresponding digital footprints. Our methodology incorporates 6 main resource constructs: performance, engagement, leadership, workplace dynamics, organizational developmental support, learning knowledge creation. Using sentiment analysis, we introduce potential way several components of...
The influence of hemodynamic changes at presentation on the recovery left ventricular (LV) function in peripartum cardiomyopathy (PPCM) patients remains uncertain. This study aims to identify patterns individuals with PPCM. included women PPCM from 2 databases Israel and Indonesia. Conventional echocardiography, 2-dimensional strain, myocardial work, noninvasive pressure-volume loop analysis were performed subsequent data clustering. Among 89 (median age 32 years, IQR: 8.7 years; LV ejection...
Chronic headache is a common complication after mild traumatic brain injury (mTBI), which affects close to 70 million individuals annually worldwide. This study aims test the utility of unique, early predictive magnetic resonance imaging (MRI)-based classification model using structural MRI scans, rarely used approach identify high-risk for post-mTBI chronic pain. We recruited 227 patients with mTBI vehicle collision, between March 30, 2016 and December 2019. T1-weighted scans from 128...
This open-source-based article presents an automated method for identifying and tracing popular Salafi discussions online. The novelty of this lies in its inter-disciplinary approach developed through collaboration among experts the fields Middle East, Islamic studies, computer science. computerized model presented here harnesses machine learning techniques to accurately identify writings on social media distinguish them from Muslims other denominations. Creating AI-supported between that...
The normal limits of nerve conduction studies are commonly determined by testing healthy subjects. However, in comprehensive real-life electrodiagnostic (EDX) evaluations, multiple nerves tested, including nerves, for purposes comparison with abnormal ones.This study aims to evaluate the average values a large population and examined influence age sex.EDX parameters were extracted from an electronic database performed May 2016 February 2022. Established used determine classification as...
Neurologic immune-related adverse events (n-irAEs) reportedly occur in up to 8% of patients treated with immune checkpoint inhibitors (ICIs) all age groups. We investigated the association between and n-irAEs ICIs examined effect on survival outcomes a large cohort melanoma.
Traumatic brain injury (TBI) annually impacts 69 million individuals worldwide. Mild TBI constitutes approximately 90% of all TBIs. Chronic pain post-mTBI occurs in 29% to 58% patients. This study aims introduce a predictive model for chronic development diagnosed with mild traumatic (mTBI) immediately postinjury. We included who had sustained mTBI motor vehicle accident (MVA). All patients initial assessments within the first 72 hours (representing subacute period) after and performed...
BACKGROUND: While clinical practice guidelines advocate for multidisciplinary heart team (MDHT) discussions in coronary revascularization, variability implementation across health care settings remains a challenge. This could potentially be addressed by language learning models like ChatGPT, offering decision-making support diverse environments. Our study aims to critically evaluate the concordance between recommendations made MDHT and those generated revascularization decision-making....
Healthcare professionals produce abounding textual data in their daily clinical practice. Text mining can yield valuable insights from unstructured data. Extracting multiple information sources is a major challenge computational medicine. In this study, our objective was to illustrate how combining text techniques with statistical methodologies new and contribute the development of neurological neuromuscular-related health information. We demonstrate utilize derive knowledge medical text,...
Reducing costly hospital readmissions of patients with Congestive Heart Failure (CHF) is important. We analyzed 4,661 CHF (from 2007 to 2017) using Hidden Markov Models in order profile readmission risk over time. This method proved practical identifying three patient groups distinctive characteristics, which might guide physicians tailoring personalized care prevent readmission. thus demonstrate how applying appropriate AI analytics can save costs and improve the quality care.
To Investigate and characterize Neurological Immune Related Adverse Events (n-irAEs) following cancer immunotherapy as well age non-age-related variables impacting survival treatment outcomes.
Background and objectives: Healthcare professionals produce abounding textual data in their daily clinical practice. Extracting insights from unstructured is a major challenge computational medicine. In this study, we propose systematic methodology for analyzing electrodiagnostic (EDX) evaluation reports using combination of Text Mining (TM) techniques, statistical methods, easy to capture visualizations.Method: We conducted retrospective study all patients who underwent EDX Israel's Sheba...