A5064434777- Biomedical Text Mining and Ontologies
- Machine Learning in Healthcare
- Clinical practice guidelines implementation
- Artificial Intelligence in Healthcare
- Topic Modeling
- Cancer Genomics and Diagnostics
- Radiomics and Machine Learning in Medical Imaging
- Sarcoidosis and Beryllium Toxicity Research
- AI in cancer detection
- Respiratory Support and Mechanisms
- Trauma and Emergency Care Studies
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Injury Epidemiology and Prevention
- Nursing Diagnosis and Documentation
- Ureteral procedures and complications
- Medical Imaging and Pathology Studies
- Electronic Health Records Systems
- COVID-19 diagnosis using AI
- Data-Driven Disease Surveillance
- Antimicrobial Resistance in Staphylococcus
- Effects of Radiation Exposure
- Semantic Web and Ontologies
- Mycobacterium research and diagnosis
- Colorectal Cancer Screening and Detection
- Traffic and Road Safety
Mayo Clinic in Florida
2020-2022
Mayo Clinic in Arizona
2019-2022
University of Glasgow
2000-2012
United States Department of Veterans Affairs
1962-1969
The contributions of the skeleton and .respira tory muscles to over-all lung function have been studied in various ways. Abnormal has observed patients with abnormal chest cage respiratory muscle caused by kyphoscoliosis, spondylitis, :poliomyelitis, obesity, spinal cord injury (1-9). Investigations thoracic mechanics undertaken normal subjects who anesthetized and/or paralyzed drugs (10-13). While both types studies are informative, they fail distinguish effects individual groups....
PURPOSE The Fast Healthcare Interoperability Resources (FHIR) is emerging as a next-generation standards framework developed by HL7 for exchanging electronic health care data. modeling capability of FHIR in standardizing cancer data has been gaining increasing attention the research informatics community. However, few studies have conducted to examine capture (EDC) applications effective clinical trials. objective this study was design, develop, and evaluate an FHIR-based method that enables...
Precision oncology has the potential to leverage clinical and genomic data in advancing disease prevention, diagnosis, treatment. A key research area focuses on early detection of primary cancers prediction unknown order facilitate optimal treatment decisions.This study presents a methodology harmonize phenotypic genetic features classify cancer types predict primaries.We extracted elements from reports 1011 patients with their corresponding phenotypical Mayo Clinic's electronic health...
While natural language processing (NLP) of unstructured clinical narratives holds the potential for patient care and research, portability NLP approaches across multiple sites remains a major challenge. This study investigated an system developed initially at Department Veterans Affairs (VA) to extract 27 key cardiac concepts from free-text or semi-structured echocardiograms three academic edical centers: Weill Cornell Medicine, Mayo Clinic Northwestern Medicine. showed high precision recall...
To develop and validate a standards-based phenotyping tool to author electronic health record (EHR)-based phenotype definitions demonstrate execution of the against heterogeneous clinical research data platforms.We developed an open-source, standards-compliant known as PhEMA Workbench that enables representation using Fast Healthcare Interoperability Resources (FHIR) Clinical Quality Language (CQL) standards. We then demonstrated how this can be used conduct EHR-based phenotyping, including...
Background Many organisations and individuals have a role in injury prevention. However, the majority of these multitude roles, staff dealing with prevention are frequently geographically or professionally isolated. Aims/Objectives/Purpose The Injury Observatory for Britain Ireland (IOBI) is an innovative collaboration between Association Public Health Observatories several academic institutions across UK Ireland. IOBI supports practitioners by providing accessible evidence base. Methods...
<sec> <title>BACKGROUND</title> Precision oncology has the potential to leverage clinical and genomic data in advancing disease prevention, diagnosis, treatment. A key research area focuses on early detection of primary cancers prediction unknown order facilitate optimal treatment decisions. </sec> <title>OBJECTIVE</title> This study presents a methodology harmonize phenotypic genetic features classify cancer types predict primaries. <title>METHODS</title> We extracted elements from reports...