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Using Retinal Imaging to Study Dementia

Using Retinal Imaging to Study Dementia

The retina shares prominent similarities with the brain and thus represents a unique window to study vasculature and neuronal structure in the brain non-invasively. This protocol describes a method to study dementia using retinal imaging techniques. This method can potentially aid in diagnosis and risk assessment of...

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Related Experiment Video

Updated: Jan 19, 2026

Using Retinal Imaging to Study Dementia

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

Dementia Patient Segmentation Using EMR Data Visualization: A Design Study.

Hyoji Ha¹, Jihye Lee², Hyunwoo Han³

¹Lifemedia Interdisciplinary Program, Ajou University, Suwon 16499, Korea. hjha0508@ajou.ac.kr.

International Journal of Environmental Research and Public Health

|September 19, 2019

Summary

This summary is machine-generated.

This study introduces visual tools to analyze electronic medical records (EMR) for dementia research. Visualizing EMR data revealed that daily behaviors significantly impact dementia progression.

Keywords:

big data bioinformatics dementia design studies digital health multidimensional data visualization visual analytics

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Published on: January 9, 2016

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

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Published on: June 25, 2019

Related Experiment Videos

Last Updated: Jan 19, 2026

Using Retinal Imaging to Study Dementia

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

Combining Multiple Data Acquisition Systems to Study Corticospinal Output and Multi-segment Biomechanics

Combining Multiple Data Acquisition Systems to Study Corticospinal Output and Multi-segment Biomechanics

Published on: January 9, 2016

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

Area of Science:

Biomedical Informatics
Data Visualization
Medical Data Analysis

Background:

Electronic Medical Record (EMR) systems are crucial for medical research, enabling disease pattern investigation and treatment optimization.
EMR data analysis requires advanced tools for handling complex, multidimensional datasets.

Purpose of the Study:

To develop and evaluate multidimensional visual tools for analyzing EMR data in dementia research.
To facilitate a user-driven research design for effective data visualization.

Main Methods:

Utilized a combination of 3-dimensional radial coordinate visualization (3D RadVis) and many-objective optimization (Parallel Coordinates).
Employed a user-driven design process: understanding expert demands, defining problems, designing, implementing, and evaluating visualizations.
Applied visual analysis to Electronic Medical Record (EMR) data.

Main Results:

Gained clinical insights into dementia progression through visual analysis of EMR data.
A case study indicated that daily living activities significantly influence dementia progression.
Successfully segmented dementia patients into distinct clusters based on behavioral patterns.

Conclusions:

Developed a visual analytical tool that supports cluster segmentation for biomedical data interpretation.
Interpreted behavioral patterns within different dementia patient clusters.
Demonstrated the value of a visual approach for understanding complex biomedical data.