Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Nursing Clinical Information System01:27

Nursing Clinical Information System

769
Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
769
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

540
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
540
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.6K
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
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.6K
Clinical Trials: Overview01:11

Clinical Trials: Overview

2.9K
Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
2.9K
Clinical Trials01:16

Clinical Trials

6.7K
Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
6.7K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

834
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
834

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Large language model biases in health care: a scoping review and call for an integrated assessment framework.

Journal of the American Medical Informatics Association : JAMIA·2026
Same author

Texture-Based Classification to Overcome Uncertainty between COVID-19 and Viral Pneumonia Using Machine Learning and Deep Learning Techniques.

Diagnostics (Basel, Switzerland)·2024
Same author

Biomedical heterogeneous data categorization and schema mapping toward data integration.

Frontiers in big data·2023
Same author

Learning Latent Spiculated Features for Lung Nodule Characterization.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2020
Same author

Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration.

Journal of digital imaging·2020
Same author

Using Real-Time Social Media Technologies to Monitor Levels of Perceived Stress and Emotional State in College Students: A Web-Based Questionnaire Study.

JMIR mental health·2017

Related Experiment Video

Updated: Jun 28, 2025

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

15.9K

Correlation Aware Relevance-Based Semantic Index for Clinical Big Data Repository.

Priya Deshpande1, Alexander Rasin2

  • 1Department of Electrical and Computer Engineering, Marquette University, Milwaukee, WI, 53233, USA. priya.deshpande@marquette.edu.

Journal of Imaging Informatics in Medicine
|April 23, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel correlation-aware topic index for unstructured clinical big data repositories. The new indexing system significantly improves data retrieval efficiency and relevance, enhancing access to critical medical information.

Keywords:
Cluster analysisCorrelationCoverage analysisData integrationMedical ontologiesRadiology teaching filesSemantic tagsTopic indexingUnsupervised machine learning

More Related Videos

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

4.5K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

8.7K

Related Experiment Videos

Last Updated: Jun 28, 2025

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

15.9K
TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

4.5K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

8.7K

Area of Science:

  • Biomedical Informatics
  • Data Science
  • Information Retrieval

Background:

  • Clinical data is unstructured, heterogeneous, and challenging to access efficiently.
  • Traditional indexing methods struggle with unstructured data and identifying correlations between data elements.
  • Existing systems lack effective mechanisms for retrieving relevant clinical cases from integrated repositories.

Purpose of the Study:

  • To develop a correlation-aware relevance-based index for unstructured clinical big data.
  • To enhance the efficiency and effectiveness of data retrieval in integrated medical data repositories.
  • To provide an improved system for accessing clinical data for patient care, research, and reference.

Main Methods:

  • Developed a data integration system merging heterogeneous medical data sources.
  • Designed an indexing system using semantic tags from clinical data and medical ontologies.
  • Employed topic modeling to generate semantic tags and a topic coherence matrix.
  • Implemented a correlation-aware topic index for efficient data retrieval.

Main Results:

  • Achieved a 61% increase in recall using the annotation index.
  • Demonstrated improved data retrieval quality with more relevant results.
  • Reduced data retrieval time through the application of the correlation-aware index.
  • Validated the system's effectiveness through expert evaluation compared to a naive index.

Conclusions:

  • The proposed correlation-aware topic indexing approach effectively addresses challenges in accessing unstructured clinical data.
  • The system enhances data retrieval by identifying correlations between data elements, leading to more relevant outcomes.
  • This indexing mechanism significantly improves both the speed and quality of accessing integrated clinical information.