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Electronic Nose Ovarian Carcinoma Diagnosis Based on Machine Learning
Chilo, José
University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
ORCID iD:
0000-0002-5505-4159
Horvath, György
Department of Oncology, Sahlgrenska University Hosp. Gothenburg.
Lindblad, Thomas
Department of Physics, Royal Institute of Technology.
Olsson, Roland
Department of Computer Science, Ostfold University College, N-1757 Halden, Norway.
2009 (English)
In:
Advances in Data Mining: Applications and Theoretical Aspects, Berlin: Springer Berlin / Heidelberg , 2009, p. 13-23
Chapter in book (Refereed)
Place, publisher, year, edition, pages
Berlin: Springer Berlin / Heidelberg , 2009. p. 13-23
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
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URN:
urn:nbn:se:hig:diva-5142
DOI:
10.1007/978-3-642-03067-3
ISBN:
978-3-642-03066-6 (print)
OAI: oai:DiVA.org:hig-5142
DiVA, id:
diva2:233169
Available from:
2009-08-28
Created:
2009-08-28
Last updated:
2026-02-19
Bibliographically approved
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