Graphical Data Exploration in QT Model Building and Cardiovascular Drug Safety

2012 ◽  
pp. 255-271
Author(s):  
Ihab G. Girgis ◽  
Surya Mohanty
Keyword(s):  
Drug Safety ◽  
Model Building ◽  
Data Exploration ◽  
Cardiovascular Drug ◽  
Graphical Data

CAN WE USE THE CANADIAN POSTMARKETING SPONTANEOUS PHARMACOVIGILANCE SYSTEM FOR CARDIOVASCULAR DRUG SAFETY RESEARCH?

2020 ◽  
Vol 36 (10) ◽  
pp. S83-S84
Author(s):  
P. Akinola ◽  
C. Galli Da Silveira ◽  
S. Corbin ◽  
M. Lavallée ◽  
T. Magalie ◽  
...  
Keyword(s):  
Drug Safety ◽  
Cardiovascular Drug ◽  
Pharmacovigilance System ◽  
Safety Research

scholarly journals Facilitating insights with a user adaptable dashboard, illustrated by airport connectivity data

2018 ◽  
Vol 1 ◽  
pp. 1-6
Author(s):  
Ieva Dobraja ◽  
Menno-Jan Kraak ◽  
Yuri Engelhardt
Keyword(s):  
Temporal Patterns ◽  
Data Representation ◽  
Data Exploration ◽  
Temporal Data ◽  
Movement Data ◽  
Graphical Data ◽  
Multiple Data ◽  
Multi Temporal ◽  
Spatio Temporal ◽  
Heterogeneous Multiscale

Since the movement data exist, there have been approaches to collect and analyze them to get insights. This kind of data is often heterogeneous, multiscale and multi-temporal. Those interested in spatio-temporal patterns of movement data do not gain insights from textual descriptions. Therefore, visualization is required. As spatio-temporal movement data can be complex because size and characteristics, it is even challenging to create an overview of it. Plotting all the data on the screen will not be the solution as it likely will result into cluttered images where no data exploration is possible. To ensure that users will receive the information they are interested in, it is important to provide a graphical data representation environment where exploration to gain insights are possible not only in the overall level but at sub-levels as well. A dashboard would be a solution the representation of heterogeneous spatio- temporal data. It provides an overview and helps to unravel the complexity of data by splitting data in multiple data representation views. The adaptability of dashboard will help to reveal the information which cannot be seen in the overview.

Graphical data exploration

2012 ◽  
pp. 20-43
Author(s):  
R. H. Baayen
Keyword(s):  
Data Exploration ◽  
Graphical Data

Assessing cardiovascular drug safety for clinical decision-making

2013 ◽  
Vol 10 (6) ◽  
pp. 330-337 ◽  
Author(s):  
Raymond L. Woosley ◽  
Klaus Romero
Keyword(s):  
Decision Making ◽  
Drug Safety ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Cardiovascular Drug

FDA's New Drug Safety Board Under Scrutiny

2005 ◽  
Vol 39 (3) ◽  
pp. 51
Author(s):  
JENNIFER SILVERMAN
Keyword(s):  
Drug Safety ◽  
New Drug
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