A5016131858- Semantic Web and Ontologies
- Tuberculosis Research and Epidemiology
- Service-Oriented Architecture and Web Services
- Advanced Database Systems and Queries
- Global Maternal and Child Health
- Health disparities and outcomes
- Pneumonia and Respiratory Infections
- Global Health Care Issues
- Global Public Health Policies and Epidemiology
- Business Process Modeling and Analysis
- Respiratory viral infections research
- Smoking Behavior and Cessation
- Helicobacter pylori-related gastroenterology studies
- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Infectious Diseases and Tuberculosis
- Health Systems, Economic Evaluations, Quality of Life
- Diagnosis and treatment of tuberculosis
- Gastric Cancer Management and Outcomes
- Mycobacterium research and diagnosis
- Colorectal Cancer Screening and Detection
- Web Data Mining and Analysis
- Child Nutrition and Water Access
- Pneumocystis jirovecii pneumonia detection and treatment
- Eosinophilic Esophagitis
San Diego State University
2018-2025
University of Washington
2012-2024
Institute for Health Metrics and Evaluation
2016-2024
University of California, San Diego
2022-2023
Google (United States)
2018-2022
Johns Hopkins University
2022
Bangladesh University of Health Sciences
2020
Tehran University of Medical Sciences
2020
University of Mississippi Medical Center
2020
State Street (United States)
2020
BackgroundThe Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis the evidence for risk factor exposure attributable burden disease. By providing national subnational assessments spanning past 25 years, this study can inform debates on importance addressing risks in context.MethodsWe used comparative assessment framework developed previous iterations Disease to estimate deaths, disability-adjusted life-years (DALYs), trends by age group, sex,...
Chronic obstructive pulmonary disease (COPD) and asthma are common diseases with a heterogeneous distribution worldwide. Here, we present methods risk estimates for COPD from the Global Burden of Diseases, Injuries, Risk Factors (GBD) 2015 study. The GBD study provides annual updates on deaths, prevalence, disability-adjusted life years (DALYs), summary measure fatal non-fatal outcomes, over 300 injuries, 188 countries 1990 to most recent year.
Abstract Predictive modeling with electronic health record (EHR) data is anticipated to drive personalized medicine and improve healthcare quality. Constructing predictive statistical models typically requires extraction of curated predictor variables from normalized EHR data, a labor-intensive process that discards the vast majority information in each patient’s record. We propose representation patients’ entire raw records based on Fast Healthcare Interoperability Resources (FHIR) format....
Lower respiratory infections are a leading cause of morbidity and mortality around the world. The Global Burden Diseases, Injuries, Risk Factors (GBD) Study 2016, provides an up-to-date analysis burden lower in 195 countries. This study assesses cases, deaths, aetiologies spanning past 26 years shows how infection has changed people all ages.
<h3>Introduction</h3> Several studies have measured health outcomes in the United States, but none provided a comprehensive assessment of patterns by state. <h3>Objective</h3> To use results Global Burden Disease Study (GBD) to report trends burden diseases, injuries, and risk factors at state level from 1990 2016. <h3>Design Setting</h3> A systematic analysis published available data sources estimates disease age, sex, geography, year. <h3>Main Outcomes Measures</h3> Prevalence, incidence,...
BackgroundThe Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study 2015 provides an up-to-date analysis the burden lower respiratory tract infections (LRIs) in 195 countries. This study assesses cases, deaths, aetiologies spanning past 25 years shows how LRI has changed people all ages.MethodsWe estimated mortality by age, sex, geography, year using a modelling platform shared across most causes death GBD called Cause Death Ensemble model. We modelled morbidity, including...
An understanding of the trends in tuberculosis incidence, prevalence, and mortality is crucial to tracking success control programmes identification remaining challenges. We assessed fatal non-fatal burden over past 25 years for 195 countries territories.
Data discovery on the Semantic Web requires crawling and indexing of statements, in addition to 'linked-data' approach de-referencing resource URIs. Existing search engines are focused database-like functionality, compromising index size, query performance live updates. We present Sindice, a lookup over resources. Our allows applications automatically locate documents containing information about given resource. In addition, we allow retrieval through inverse-functional properties, offer...
Web services offer an interoperability model that abstracts from the idiosyncrasies of specific implementations; they were introduced to address increasing need for seamless between systems in business-to-business domain. We analyse requirements this domain and show fully demands we make use semantic descriptions services. therefore introduce service execution environment (WSMX), at software system enables creation based on modelling ontology. Providers can it register their requesters...
Section:ChooseTop of pageAbstract <<ContentsSummary Recommendation...IntroductionMethodsDefinition HypoxemiaConsequences Untreated...Indications for HOTProviding HOTDiscontinuation HOTConclusionsReferencesCITING ARTICLES
Helicobacter pylori infection is among the most prevalent infections in world and a key cause of gastric diseases; however, its route transmission remains unclear. This study aimed to assess potential for fecal–oral H. by leveraging association with disease known etiology. Utilizing serology data from National Health Nutrition Examination Survey (NHANES 1999; N = 6,347), between hepatitis A virus (HAV), sensitive indicator exposure, was assessed. Survey-weighted kappa multiple logistic...
Semantic Web data exhibits very skewed frequency distributions among terms. Efficient large-scale distributed reasoning methods should maintain load-balance in the face of such highly distribution input data. We show that term-based partitioning, used by most approaches, has limited scalability due to load-balancing problems.We address this problem with a method for based on clustering elastic regions. Instead as- signing fixed peers, flows semi-randomly network. Data items speed-date while...