A5041251453- Frailty in Older Adults
- Nutrition and Health in Aging
- Opioid Use Disorder Treatment
- Emergency and Acute Care Studies
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Substance Abuse Treatment and Outcomes
- Obesity and Health Practices
- Quality and Safety in Healthcare
- Bariatric Surgery and Outcomes
- Occupational and environmental lung diseases
- Artificial Intelligence in Healthcare
- Chronic Disease Management Strategies
- Gastrointestinal motility and disorders
- Health Systems, Economic Evaluations, Quality of Life
- Machine Learning in Healthcare
- Heart Failure Treatment and Management
- Artificial Intelligence in Healthcare and Education
- HIV, Drug Use, Sexual Risk
Tel Aviv University
2025
Ariel University
2020
Ben-Gurion University of the Negev
2017
End stage renal disease (ESRD) describes the most severe of chronic kidney (CKD), when patients need dialysis or transplant. There is often a delay in recognizing, diagnosing, and treating various etiologies CKD. The objective present study was to employ machine learning algorithms develop prediction model for progression ESRD based on large-scale multidimensional database.This analyzed 10,000,000 medical insurance claims from 550,000 patient records using commercial health database....
Abstract Background Opioid use disorder (OUD) affects an estimated 16 million people worldwide. The diagnosis of OUD is commonly delayed or missed altogether. We aimed to test the utility machine learning in creating a prediction model and algorithm for early OUD. Subjects methods analyzed data gathered commercial claim database from January 1, 2006, December 31, 2018 10 medical insurance claims 550 000 patient records. compiled 436 predictor candidates, divided six feature groups ‐...
Abstract Recent health reforms have created incentives for cardiologists and accountable care organizations to participate in value-based models heart failure (HF). Accurate risk stratification of HF patients is critical efficiently deploy interventions aimed at reducing preventable utilization. The goal this paper was compare deep learning approaches with traditional logistic regression (LR) predict utilization among patients. We conducted a prognostic study using data on 93,260...
Frailty, a significant risk factor for adverse outcomes and mortality, poses an emerging challenge with profound implications public health clinical practice. The measurement of frailty offers potential enhancements in healthcare services older adults. prevalence its association long-term mortality nationwide, unselected population community-dwelling adults, particularly those aged 75 over, has not been previously studied on large scale Israel.
Frailty constitutes a major factor that puts the elderly at risk of health and functional deterioration.