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3-D pain drawings-mobile data collection using a PDA
A large number of the adult population suffers from some kind of back pain during their lifetime. Part of the process of diagnosing and treating such back pain is for a clinician to
collect information as to the type and location of the pain that is being suffered.Traditional approaches to gathering and visualizing this pain data have relied on simple 2-D representations of the human body, where different types of sensation are recorded with various monochrome symbols. Although patients have been shown to prefer such drawings to traditional questionnaires, these pain drawings can be limited in their ability to accurately record pain. The work described in this paper proposes an alternative that uses a 3-D representation of the human body, which can be marked in color to visualize and record the pain data. This study has shown that the new approach is a promising development in this area of medical practice and has been positively received by patients and clinicians alike
AMADA-Analysis of Multidimensional Astronomical Datasets
We present AMADA, an interactive web application to analyse multidimensional
datasets. The user uploads a simple ASCII file and AMADA performs a number of
exploratory analysis together with contemporary visualizations diagnostics. The
package performs a hierarchical clustering in the parameter space, and the user
can choose among linear, monotonic or non-linear correlation analysis. AMADA
provides a number of clustering visualization diagnostics such as heatmaps,
dendrograms, chord diagrams, and graphs. In addition, AMADA has the option to
run a standard or robust principal components analysis, displaying the results
as polar bar plots. The code is written in R and the web interface was created
using the Shiny framework. AMADA source-code is freely available at
https://goo.gl/KeSPue, and the shiny-app at http://goo.gl/UTnU7I.Comment: Accepted for publication in Astronomy & Computin
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