Fusion of Clinical Data: A Case Study to Predict the Type of Treatment of Bone Fractures

Anam Haq; Szymon Wilk

Scientific Information System of the Poznań University of Technology

PL EN

Main page / Publications / Fusion of Clinical Data: A Case Study to Predict the Type of Treatment of Bone Fractures

Submit a comment

Chapter

Download BibTeX

Title

Fusion of Clinical Data: A Case Study to Predict the Type of Treatment of Bone Fractures

Authors

Anam Haq (WIiT) ^{[ 1 ][ 2.3 ][ P ]}
Szymon Wilk (WI) ^{[ 2 ][ 2.3 ][ P ]}

^{[ 1 ]} Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | ^{[ 2 ]} Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2017

Chapter type

chapter in monograph / paper

Publication language

english

Keywords

EN

clinical data
data fusion
prediction models
decision support

Date of online publication

09.09.2017

Pages (from - to)

294 - 301

URL

https://link.springer.com/chapter/10.1007/978-3-319-67162-8_29

Book

New Trends in Databases and Information Systems : ADBIS 2017 : Short Papers and Workshops, AMSD, BigNovelTI, DAS, SW4CH, DC, Nicosia, Cyprus, September 24–27, 2017 : Proceedings

Presented on

European Conference on Advances in Databases and Information Systems ADBIS 2017, 24.09.2017, Nicosia, Cyprus

Ministry points / chapter

20.0

System created by Poznań University of Technology and Poznan Supercomputing and Networking Center

Log in through eKonto to add to SIS