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Related Experiment Video

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A Web Tool for Generating High Quality Machine-readable Biological Pathways

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

C-PHIS: a concept map-based knowledge base framework to develop personal health information systems.

Pramukh R Karla¹, Varadraj P Gurupur

¹Department of Computer Science and Information Systems, Texas A&M University, Commerce, TX, USA.

Journal of Medical Systems

|September 10, 2013

Summary

This summary is machine-generated.

This study introduces a Personal Health Information System built with concept maps. The system captures expert knowledge graphically, converting it into machine-readable data for lung cancer patient care.

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Area of Science:

Health Informatics
Knowledge Representation
Medical Data Management

Background:

Developing effective Personal Health Information Systems (PHIS) is crucial for patient care.
Existing systems often struggle with capturing complex, domain-specific knowledge.
There is a need for intuitive methods for knowledge acquisition and representation in healthcare.

Purpose of the Study:

To develop a novel Personal Health Information System (PHIS).
To utilize concept maps for creating a knowledge base.
To enable conversion of graphical knowledge into a machine-actable format for lung cancer patients.

Main Methods:

Development of an information capturing system.
Utilizing concept maps to build a knowledge base.
Creating a prototype application demonstrating the system's functionality.

Main Results:

A functional prototype of the Personal Health Information System was successfully developed.
The system effectively captures domain expert knowledge using concept maps.
The graphical knowledge base was converted into a machine-actable format.

Conclusions:

Concept maps provide a viable framework for developing PHIS knowledge bases.
The developed system addresses the need for efficient knowledge capture in healthcare.
This approach shows promise for improving Personal Health Information Systems, particularly for chronic diseases like lung cancer.