A5022972141- Data-Driven Disease Surveillance
- Machine Learning in Healthcare
- COVID-19 Digital Contact Tracing
- COVID-19 epidemiological studies
- COVID-19 diagnosis using AI
- Inflammatory Bowel Disease
- Systemic Sclerosis and Related Diseases
- Microscopic Colitis
- Medical Coding and Health Information
- Insurance, Mortality, Demography, Risk Management
- Health Systems, Economic Evaluations, Quality of Life
- Neutropenia and Cancer Infections
- Diverticular Disease and Complications
- Colorectal Cancer Screening and Detection
- Mobile Health and mHealth Applications
- Health, Environment, Cognitive Aging
- Biomedical and Engineering Education
- Autoimmune and Inflammatory Disorders Research
Abstract Background Synthetic data may provide a solution to researchers who wish generate and share in support of precision healthcare. Recent advances synthesis enable the creation analysis synthetic derivatives as if they were original data; this process has significant advantages over deidentification. Objectives To assess big-data platform with data-synthesizing capabilities (MDClone Ltd., Beer Sheva, Israel) for its ability produce that can be used research purposes while obviating...
Background Computationally derived (“synthetic”) data can enable the creation and analysis of clinical, laboratory, diagnostic as if they were original electronic health record data. Synthetic support sharing to answer critical research questions address COVID-19 pandemic. Objective We aim compare results from analyses synthetic those assess strengths limitations leveraging computationally for purposes. Methods used National COVID Cohort Collaborative’s instance MDClone, a big platform with...
Abstract Objective This study sought to evaluate whether synthetic data derived from a national coronavirus disease 2019 (COVID-19) dataset could be used for geospatial and temporal epidemic analyses. Materials Methods Using an original (n = 1 854 968 severe acute respiratory syndrome 2 tests) its derivative, we compared key indicators of COVID-19 community spread through analysis aggregate zip code-level curves, patient characteristics outcomes, distribution tests by code, indicator counts...
The risk for bacteremia following endoscopic procedures varies among studies. A low neutrophil count is considered as a factor.To assess factors procedures, focusing on neutropenia.This was retrospective analysis of all inpatients undergoing between 2005 and 2018 with taken within 72 hours before the procedure in tertiary center Israel. primary outcome positive blood culture 48 bacteria that not cultured before. Risk were assessed multivariate logistic regression models built. In neutropenic...
ABSTRACT Objective To evaluate whether synthetic data derived from a national COVID-19 set could be used for geospatial and temporal epidemic analyses. Materials Methods Using an original (n=1,854,968 SARS-CoV-2 tests) its derivative, we compared key indicators of community spread through analysis aggregate zip-code level curves, patient characteristics outcomes, distribution tests by zip code, indicator counts stratified month code. Similarity between the was statistically qualitatively...
<sec> <title>BACKGROUND</title> Computationally derived (“synthetic”) data can enable the creation and analysis of clinical, laboratory, diagnostic as if they were original electronic health record data. Synthetic support sharing to answer critical research questions address COVID-19 pandemic. </sec> <title>OBJECTIVE</title> We aim compare results from analyses synthetic those assess strengths limitations leveraging computationally for purposes. <title>METHODS</title> used National COVID...