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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

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Health figures: an open source JavaScript library for health data visualization.

Andres Ledesma¹, Mohammed Al-Musawi², Hannu Nieminen²

¹Department of Signal Processing, Tampere University of Technology, Korkeakoulunkatu 10, Tampere, 33720, Finland. andres.ledesma@tut.fi.

BMC Medical Informatics and Decision Making

|March 23, 2016

Summary

The hFigures library offers a new way to visualize health data, making it easier to understand personal wellness trends. User evaluations confirm its effectiveness and usability for health monitoring.

Keywords:

Data visualization Health data Health informatics Javascript

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Area of Science:

Health Informatics
Data Visualization
Human-Computer Interaction

Background:

Understanding health and wellness data is crucial due to increased self-tracking and preventive medicine.
Electronic Health Records and mobile apps generate vast amounts of complex health data.
Existing visualization methods can make health data difficult to interpret.

Purpose of the Study:

To develop and evaluate hFigures, an open-source library for visualizing health data evolution.
To provide a comprehensive, accurate, and normalized graphical representation of health metrics.
To enhance user comprehension of health data trends over time.

Main Methods:

Implemented the hFigures library, inspired by hGraph, with added functionalities.
Developed a health data visualization application utilizing the hFigures library.
Conducted user evaluations including Heuristic Evaluation, Controlled User Testing, and Usability Questionnaires (CSUQ, ASQ).

Main Results:

Heuristic Evaluation yielded an average score of 6.3/7, with usability experts finding no design errors.
Controlled User Testing showed high usability, with CSUQ scoring 6.13/7 and ASQ scoring 6.64/7.
The library effectively assisted users in understanding health data and its progression.

Conclusions:

hFigures is an open-source library providing advanced visualization of health data.
It enables comparison of multiple health measurements over time, improving data interpretation.
Usability evaluations confirm hFigures' value in health and wellness monitoring applications.