We describe the methodology and architecture of a knowledge-based, interactive visualization system that enables physicians and medical support personnel to draw conclusions from heterogeneous time-oriented clinical data. Our system employs domain-specific ontologies to produce temporal and statistical abstractions of data, and also as the basis for semantically-based browsing and visualization. This builds on previous work in data mining, temporal reasoning, and information visualization, but offers fundamental advantages over any isolated approach, by leveraging each off the others. We performed an evaluation of a prototype, leading us to conclude that users can indeed use the system to perform such semantically-based browsing in a reasonable amount of time.
might also be in chi 1997 physicians need access to temporal data to make decisions, but this process is abstract. A KBS might be able to capture it, but doctors need to be able to track where the decisions came from. notes that node and arc diagrams fall short when the object itself is of interest, not just its relationships...
%0 Report
%1 cheng97
%A Cheng, C.
%A Shahar, Y.
%A Puerta, A.
%A Stites, D.
%D 1997
%I Stanford Medical Informatics
%K information visualization
%T Navigation and Visualization of Abstractions of Time-Oriented Clinical Data
%U http://www.cs.toronto.edu/~nernst/papers/CSPS99-navoftimeoriented.pdf
%X We describe the methodology and architecture of a knowledge-based, interactive visualization system that enables physicians and medical support personnel to draw conclusions from heterogeneous time-oriented clinical data. Our system employs domain-specific ontologies to produce temporal and statistical abstractions of data, and also as the basis for semantically-based browsing and visualization. This builds on previous work in data mining, temporal reasoning, and information visualization, but offers fundamental advantages over any isolated approach, by leveraging each off the others. We performed an evaluation of a prototype, leading us to conclude that users can indeed use the system to perform such semantically-based browsing in a reasonable amount of time.
@techreport{cheng97,
abstract = {We describe the methodology and architecture of a knowledge-based, interactive visualization system that enables physicians and medical support personnel to draw conclusions from heterogeneous time-oriented clinical data. Our system employs domain-specific ontologies to produce temporal and statistical abstractions of data, and also as the basis for semantically-based browsing and visualization. This builds on previous work in data mining, temporal reasoning, and information visualization, but offers fundamental advantages over any isolated approach, by leveraging each off the others. We performed an evaluation of a prototype, leading us to conclude that users can indeed use the system to perform such semantically-based browsing in a reasonable amount of time.},
added-at = {2006-03-24T16:34:33.000+0100},
author = {Cheng, C. and Shahar, Y. and Puerta, A. and Stites, D.},
biburl = {https://www.bibsonomy.org/bibtex/2cdc49e6638b6afcaa593fa364416f6bc/neilernst},
citeulike-article-id = {111782},
comment = {might also be in chi 1997 physicians need access to temporal data to make decisions, but this process is abstract. A KBS might be able to capture it, but doctors need to be able to track where the decisions came from. notes that node and arc diagrams fall short when the object itself is of interest, not just its relationships...},
description = {sdasda},
interhash = {6cc97fe88214a6496f038fb2becbeb7a},
intrahash = {cdc49e6638b6afcaa593fa364416f6bc},
keywords = {information visualization},
pdf = {CSPS99-navoftimeoriented.pdf},
priority = {0},
publisher = {Stanford Medical Informatics},
timestamp = {2006-03-24T16:34:33.000+0100},
title = {Navigation and {V}isualization of {A}bstractions of {T}ime-{O}riented {C}linical {D}ata},
url = {http://www.cs.toronto.edu/~nernst/papers/CSPS99-navoftimeoriented.pdf},
year = 1997
}