Integrated Decision Support by Combining Textual Information Extraction, Facetted Search and Information Visualisation
D. Sonntag, and H. Profitlich. 30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017, Thessaloniki, Greece, June 22--24, 2017, page 95--100. Los Alamitos, CA, IEEE Computer Society, (2017)
DOI: 10.1109/CBMS.2017.119
Abstract
This work focusses on our integration steps of complex and partly unstructured medical data into a clinical research database with subsequent decision support. Our main application is an integrated facetted search tool, followed by information visualisation based on automatic information extraction results from textual documents. We describe the details of our technical architecture (open-source tools), to be replicated at other universities, research institutes, or hospitals. Our exemplary use case is nephrology, where we try to answer questions about the temporal characteristics of sequences and gain significant insight from the data for cohort selection. We report on this case study, illustrating how the application can be used by a clinician and which questions can be answered.
%0 Conference Paper
%1 SonntagProfitlich17CBMS
%A Sonntag, Daniel
%A Profitlich, Hans-Jürgen
%B 30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017, Thessaloniki, Greece, June 22--24, 2017
%C Los Alamitos, CA
%D 2017
%E Bamidis, Panagiotis D.
%E Konstantinidis, Stathis Th.
%E Rodrigues, Pedro Pereira
%I IEEE Computer Society
%K 01801 ieee paper dfki ai health information user interface search zzz.iui
%P 95--100
%R 10.1109/CBMS.2017.119
%T Integrated Decision Support by Combining Textual Information Extraction, Facetted Search and Information Visualisation
%X This work focusses on our integration steps of complex and partly unstructured medical data into a clinical research database with subsequent decision support. Our main application is an integrated facetted search tool, followed by information visualisation based on automatic information extraction results from textual documents. We describe the details of our technical architecture (open-source tools), to be replicated at other universities, research institutes, or hospitals. Our exemplary use case is nephrology, where we try to answer questions about the temporal characteristics of sequences and gain significant insight from the data for cohort selection. We report on this case study, illustrating how the application can be used by a clinician and which questions can be answered.
%@ 978-1-5386-1710-6
@inproceedings{SonntagProfitlich17CBMS,
abstract = {This work focusses on our integration steps of complex and partly unstructured medical data into a clinical research database with subsequent decision support. Our main application is an integrated facetted search tool, followed by information visualisation based on automatic information extraction results from textual documents. We describe the details of our technical architecture (open-source tools), to be replicated at other universities, research institutes, or hospitals. Our exemplary use case is nephrology, where we try to answer questions about the temporal characteristics of sequences and gain significant insight from the data for cohort selection. We report on this case study, illustrating how the application can be used by a clinician and which questions can be answered.},
added-at = {2018-03-08T11:19:22.000+0100},
address = {Los Alamitos, CA},
author = {Sonntag, Daniel and Profitlich, Hans-J{\"u}rgen},
biburl = {https://www.bibsonomy.org/bibtex/286959e8b16ad91b1310d29142411bf72/flint63},
booktitle = {30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017, Thessaloniki, Greece, June 22--24, 2017},
doi = {10.1109/CBMS.2017.119},
editor = {Bamidis, Panagiotis D. and Konstantinidis, Stathis Th. and Rodrigues, Pedro Pereira},
file = {IEEE Digital Library:2017/SonntagProfitlich17CBMS.pdf:PDF},
groups = {public},
interhash = {115662f66324d8157d525a1846d6a7e3},
intrahash = {86959e8b16ad91b1310d29142411bf72},
isbn = {978-1-5386-1710-6},
keywords = {01801 ieee paper dfki ai health information user interface search zzz.iui},
pages = {95--100},
publisher = {IEEE Computer Society},
timestamp = {2018-04-16T12:01:42.000+0200},
title = {Integrated Decision Support by Combining Textual Information Extraction, Facetted Search and Information Visualisation},
username = {flint63},
year = 2017
}