Davera Gabriel
A5054935533- COVID-19 Clinical Research Studies
- Semantic Web and Ontologies
- Long-Term Effects of COVID-19
- Biomedical Text Mining and Ontologies
- COVID-19 and healthcare impacts
- Research Data Management Practices
- COVID-19 Impact on Reproduction
- Scientific Computing and Data Management
- Ethics in Clinical Research
- Machine Learning in Healthcare
- Data-Driven Disease Surveillance
- Electronic Health Records Systems
- Artificial Intelligence in Healthcare and Education
- COVID-19 diagnosis using AI
- Respiratory viral infections research
- Healthcare cost, quality, practices
- Kawasaki Disease and Coronary Complications
- Delphi Technique in Research
- Maternal and fetal healthcare
- Health, Environment, Cognitive Aging
- Natural Language Processing Techniques
- Public Health Policies and Education
- Healthcare Systems and Technology
- Genomics and Rare Diseases
- Health Policy Implementation Science
Johns Hopkins Medicine
2020-2024
Johns Hopkins University
2020-2024
Collaborative Research Group
2024
Cohort (United Kingdom)
2024
Clinical Research Institute
2019
University of California, Davis
2009-2014
California State University, Sacramento
2010
Coronavirus disease 2019 (COVID-19) poses societal challenges that require expeditious data and knowledge sharing. Though organizational clinical are abundant, these largely inaccessible to outside researchers. Statistical, machine learning, causal analyses most successful with large-scale beyond what is available in any given organization. Here, we introduce the National COVID Cohort Collaborative (N3C), an open science community focused on analyzing patient-level from many centers.The...
The National COVID Cohort Collaborative (N3C) is a centralized, harmonized, high-granularity electronic health record repository that the largest, most representative COVID-19 cohort to date. This multicenter data set can support robust evidence-based development of predictive and diagnostic tools inform clinical care policy.
<h3>Importance</h3> Understanding of SARS-CoV-2 infection in US children has been limited by the lack large, multicenter studies with granular data. <h3>Objective</h3> To examine characteristics, changes over time, outcomes, and severity risk factors within National COVID Cohort Collaborative (N3C). <h3>Design, Setting, Participants</h3> A prospective cohort study encounters end dates before September 24, 2021, was conducted at 56 N3C facilities throughout US. Participants included younger...
Stratification of patients with post-acute sequelae SARS-CoV-2 infection (PASC, or long COVID) would allow precision clinical management strategies. However, COVID is incompletely understood and characterised by a wide range manifestations that are difficult to analyse computationally. Additionally, the generalisability machine learning classification COVID-19 outcomes has rarely been tested.
Abstract The Human Phenotype Ontology (HPO) is a widely used resource that comprehensively organizes and defines the phenotypic features of human disease, enabling computational inference supporting genomic analyses through semantic similarity machine learning algorithms. HPO has widespread applications in clinical diagnostics translational research, including diagnostics, gene-disease discovery, cohort analytics. In recent years, groups around world have developed translations from English...
The majority of U.S. reports COVID-19 clinical characteristics, disease course, and treatments are from single health systems or focused on one domain. Here we report the creation National COVID Cohort Collaborative (N3C), a centralized, harmonized, high-granularity electronic record repository that is largest, most representative cohort cases controls to date. This multi-center dataset supports robust evidence-based development predictive diagnostic tools informs critical care policy.In...
Abstract Objective In response to COVID-19, the informatics community united aggregate as much clinical data possible characterize this new disease and reduce its impact through collaborative analytics. The National COVID Cohort Collaborative (N3C) is now largest publicly available HIPAA limited dataset in US history with over 6.4 million patients a testament partnership of 100 organizations. Materials Methods We developed pipeline for ingesting, harmonizing, centralizing from 56...
Abstract Despite progress in the development of standards for describing and exchanging scientific information, lack easy-to-use mapping between different representations same or similar objects databases poses a major impediment to data integration interoperability. Mappings often metadata needed be correctly interpreted applied. For example, are two terms equivalent merely related? Are they narrow broad matches? Or associated some other way? Such relationships mapped not documented, which...
Prior observational studies suggest that aspirin use may be associated with reduced mortality in high-risk hospitalized patients COVID-19, but aspirin's efficacy moderate COVID-19 is not well studied.To assess whether early lower odds of in-hospital COVID-19.Observational cohort study 112 269 enrolled from January 1, 2020, through September 10, 2021, at 64 health systems the United States participating National Institute Health's COVID Cohort Collaborative (N3C).Aspirin within first day...
This article describes the patient-centered Scalable National Network for Effectiveness Research (pSCANNER), which is part of recently formed PCORnet, a national network composed learning healthcare systems and patient-powered research networks funded by Patient Centered Outcomes Institute (PCORI). It designed to be stakeholder-governed federated that uses distributed architecture integrate data from three existing covering over 21 million patients in all 50 states: (1) VA Informatics...
Precision prevention embraces personalized but includes broader factors such as social determinants of health to improve cardiovascular health. The quality, quantity, precision, and diversity data relatable individuals communities continue expand. New analytical methods can be applied these create tools attribute risk, which may allow a better understanding disparities. Interventions using analytic should evaluated establish feasibility efficacy for addressing disease disparities in diverse...
The COVID-19 pandemic has thrown the entire world into economic and mental turmoil, changed our lifestyles way we interact in care what is a very challenging rapidly evolving circumstance. methodology: this bibliographical research of documentary, descriptive qualitative nature, information was obtained from analysis scientific data published on online platforms. Results Discussion: Healthcare professionals face additional stressors. They are known to include an increased risk infection,...
Objective The Cross-Institutional Clinical Translational Research project explored a federated query tool and looked at how this can facilitate clinical trial cohort discovery by managing access to aggregate patient data located within unaffiliated academic medical centers.
Abstract Objectives To define pregnancy episodes and estimate gestational age within electronic health record (EHR) data from the National COVID Cohort Collaborative (N3C). Materials Methods We developed a comprehensive approach, named Hierarchy rule-based episode Inference integrated with Pregnancy Progression Signatures (HIPPS), applied it to EHR in N3C (January 1, 2018–April 7, 2022). HIPPS combines: (1) an extension of previously published algorithm, (2) novel algorithm detect...
Abstract Importance SARS-CoV-2 Objective To determine the characteristics, changes over time, outcomes, and severity risk factors of affected children within National COVID Cohort Collaborative (N3C) Design Prospective cohort study patient encounters with end dates before May 27th, 2021. Setting 45 N3C institutions Participants Children <19-years-old at initial testing Main Outcomes Measures Case incidence demographic comorbidity factors, vital sign laboratory trajectories, clinical acute...
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...
In children, levels of play, physical activity, and fitness are key indicators health disease closely tied to optimal growth development. Cardiopulmonary exercise testing (CPET) provides clinicians with biomarkers effectiveness therapy, researchers novel insights into fundamental biological mechanisms reflecting an integrated physiological response that is hidden when the child at rest. Yet clinical trials utilizing CPET in pediatrics remains stunted despite current emphasis on preventative...