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

Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.9K
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...
1.9K
Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

1.6K
Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...
1.6K
Econometric Views (EViews)01:29

Econometric Views (EViews)

673
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
673
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

1.2K
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
1.2K
Nursing Clinical Information System01:27

Nursing Clinical Information System

1.4K
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:
1.4K

You might also read

Related Articles

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

Sort by
Same author

An evidence gap map of digital health interventions for enhancing patient engagement in healthcare.

NPJ digital medicine·2026
Same author

Interpretable Machine Learning Framework for Predicting Major Adverse Cardiovascular Events in Rheumatoid Arthritis Using Electronic Health Records: Multicenter Cohort Study.

JMIR formative research·2026
Same author

Predicting Pediatric Mortality Across Five Intensive Care Units: Toward an Early Warning Using Machine Learning.

Studies in health technology and informatics·2026
Same author

AI-Integrated EEG Decision Support for Neurocritical Care: A Conceptual and Feasibility Framework.

Studies in health technology and informatics·2026
Same author

Disease associated missense substitutions disrupt structural stability and catalytic function of 4-hydroxyphenylpyruvate dioxygenase.

The Journal of biological chemistry·2026
Same author

Workflow-embedded automation improves hepatitis B screening and safety in b/tsDMARD users.

BMC infectious diseases·2026
Same journal

Interpretable SHAP-based machine learning framework for patient satisfaction prediction: a case study in Thammasat University Hospital.

BMC medical informatics and decision making·2026
Same journal

Automated generation of structured breast ultrasound reports using BreastViT and ChatGPT.

BMC medical informatics and decision making·2026
Same journal

Shared decision-making and medication adherence among community adults with chronic diseases: a cross-sectional study in Hubei Province, China.

BMC medical informatics and decision making·2026
Same journal

Classification of periapical radiographic findings for root canal therapy decision support using deep neural networks.

BMC medical informatics and decision making·2026
Same journal

Machine learning-based risk assessment of neonatal perinatal adverse outcomes of anemia during pregnancy: a modeling study.

BMC medical informatics and decision making·2026
Same journal

Intelligent differentiation between Parkinson's disease and essential tremor using wearable sensors and machine learning: a temporal validation study.

BMC medical informatics and decision making·2026
See all related articles

Related Experiment Video

Updated: Mar 30, 2026

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.6K

A richly interactive exploratory data analysis and visualization tool using electronic medical records.

Chih-Wei Huang1,2, Richard Lu1,2, Usman Iqbal1,2

  • 1Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.

BMC Medical Informatics and Decision Making
|November 14, 2015
PubMed
Summary
This summary is machine-generated.

We developed a visual data mining system to analyze electronic medical records (EMRs) for patient cohort studies. This tool helps uncover hidden disease patterns and patient trajectories over time using interactive visualizations.

More Related Videos

Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation
04:58

Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation

Published on: August 25, 2022

2.7K
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

34.4K

Related Experiment Videos

Last Updated: Mar 30, 2026

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.6K
Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation
04:58

Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation

Published on: August 25, 2022

2.7K
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

34.4K

Area of Science:

  • Medical Informatics
  • Data Visualization
  • Health Data Analysis

Background:

  • Electronic medical records (EMRs) contain vast amounts of data valuable for healthcare professionals and researchers.
  • Extracting meaningful insights from complex and large EMR datasets is a significant challenge.

Purpose of the Study:

  • To develop a standardized, interactive data analysis process for cohort studies using EMR data.
  • To enable researchers to explore patient data and uncover disease-related patterns over time.

Main Methods:

  • An interactive divide-and-conquer approach for classifying patients into homogeneous subgroups.
  • User-guided refinement of data subsets for visual examination and comparison.
  • Sankey diagram-style timelines for visualizing patient states and transitions.

Main Results:

  • A web-based application for interactive visualization of EMR data.
  • Demonstrated the tool's utility with 14,567 Chronic Kidney Disease (CKD) patient records.
  • Visualizations revealed hidden information, facilitated group comparisons, and identified critical disease factors.

Conclusions:

  • A visual mining system was developed for exploratory analysis of multi-dimensional categorical EMR data.
  • The system combines automated analysis with human-curated visual evaluation.
  • Visualization techniques like Sankey diagrams effectively reveal disease cohort knowledge and temporal trajectories.