Identifying patient cohorts meeting the criteria of specific phenotypes is essential in
biomedicine and particularly timely in precision medicine. Many research groups deliver …

For centuries, humans have sought to classify diseases based on phenotypic presentation
and available treatments. Today, a wide landscape of strategies, resources, and tools exist …

Extending the OMOP Common Data Model and Standardized Vocabularies to Support
Observational Cancer Research - PMC Back to Top Skip to main content NIH NLM Logo Access …

In this paper, a new cohort identification system that exploits the semantic hierarchy of
SNOMED CT is proposed to overcome the limitations of supervised machine learning-based …

Interoperability issues are common in biomedical informatics. Reusing data generated from
a system in another system, or integrating an existing clinical decision support system …

The widespread adoption of Electronic Health Records (EHRs) has enabled data-driven
approaches to clinical care and research. However, the performance and generalizability of …

In this paper, a new cohort identification framework that exploits the semantic hierarchy of
SNOMED CT is proposed to overcome the limitations of supervised machine learning-based …

Hintergrund und Ziele Es steckt großes Potenzial in der Sekundärnutzung klinisch-
medizinischer Daten, die in der elektronischen Gesundheitsakte eines Patienten oder einem …

Health information technology has been widely used in healthcare, which has contributed a
huge amount of data. Health data has four characteristics: high volume; high velocity; high …

Services in manufacturing grid (MG) are dynamically aggregated from different
organizations. So it is essential for MG that services can be discovered efficiently. Automatic …