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Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
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Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

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Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Using semantic web technologies to manage complexity and change in biomedical data.

Robert Stevens1, Simon Jupp, Julie Klein

  • 1School of Computer Science, University of Manchester, Oxford Road, Manchester, United Kingdom.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
Summary
This summary is machine-generated.

Biomedical data analysis faces challenges due to complexity and volatility. Semantic Web technologies offer a solution for managing intricate kidney and urinary pathway (KUP) domain data.

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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

Area of Science:

  • Biomedical informatics
  • Data science
  • Semantic Web technologies

Background:

  • Biomedical data is complex, volatile, and heterogeneous, posing significant analysis challenges.
  • Data management issues stem from data characteristics, not just size, requiring entity recognition and relationship organization.
  • Domain knowledge and experimental techniques evolve, adding to data processing complexity.

Purpose of the Study:

  • To describe the challenges in analyzing complex and volatile biomedical data.
  • To present the application of Semantic Web technologies for managing data complexity and change.
  • To report on experiences with data mining in the kidney and urinary pathway (KUP) domain.

Main Methods:

  • Utilizing data mining techniques for analyzing KUP domain data.
  • Employing Semantic Web technologies to manage data complexity and volatility.
  • Organizing inter-relationships between data entities and recognizing entity nature.

Main Results:

  • Identified complexity, volatility, and heterogeneity as key biomedical data management issues.
  • Demonstrated the utility of Semantic Web technologies in addressing these challenges.
  • Successfully applied data mining to the KUP domain with Semantic Web support.

Conclusions:

  • Semantic Web technologies are effective for managing complex and evolving biomedical data.
  • Data mining combined with Semantic Web approaches enhances biomedical data analysis.
  • The KUP domain presents a relevant case study for these data management strategies.