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Fusion of clinical data: A case study to predict the type of treatment of bone fractures Cover

Fusion of clinical data: A case study to predict the type of treatment of bone fractures

International Journal of Applied Mathematics and Computer Science
Volume 29 (2019): Issue 1 (March 2019)
By: Anam Haq,  Szymon Wilk and  Alberto Abelló  
Open Access
|Mar 2019

Authors

Anam Haq

anam.haq@put.poznan.pl

Institute of Computing Science, Poznan University of Technology, Poznan, Poland

Szymon Wilk

szymon.wilk@cs.put.poznan.pl

Institute of Computing Science, Poznan University of Technology, Poznan, Poland

Alberto Abelló

aabello@essi.upc.edu

Department of Informatics, Polytechnic University of Catalonia, Barcelona, Spain
DOI: https://doi.org/10.2478/amcs-2019-0004 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 51 - 67
Submitted on: Mar 19, 2018
Accepted on: Dec 6, 2018
Published on: Mar 29, 2019
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
clinical data,
data fusion,
combination of data,
combination of interpretation,
prediction models,
decision support
Related subjects:
Mathematics,
Applied mathematics

© 2019 Anam Haq, Szymon Wilk, Alberto Abelló, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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