A novel machine learning approach for early detection of hepatocellular carcinoma patients

Książek, Wojciech, Abdar, Moloud, Acharya, U. Rajendra and Pławiak, Paweł 2019, A novel machine learning approach for early detection of hepatocellular carcinoma patients, Cognitive Systems Research, vol. 54, pp. 116-127, doi: 10.1016/j.cogsys.2018.12.001.

Attached Files
Name Description MIMEType Size Downloads

Title A novel machine learning approach for early detection of hepatocellular carcinoma patients
Author(s) Książek, Wojciech
Abdar, MoloudORCID iD for Abdar, Moloud orcid.org/0000-0002-3059-6357
Acharya, U. Rajendra
Pławiak, Paweł
Journal name Cognitive Systems Research
Volume number 54
Start page 116
End page 127
Total pages 12
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2019-05
ISSN 1389-0417
Keyword(s) Machine learning
Data mining
Hepatocellular carcinoma (HCC)
Genetic algorithm
Normalization
Feature selection
Science & Technology
Social Sciences
Technology
Life Sciences & Biomedicine
Computer Science, Artificial Intelligence
Neurosciences
Psychology, Experimental
Computer Science
Neurosciences & Neurology
Psychology
RANDOM FOREST
ECG SIGNALS
CLASSIFICATION
RECOGNITION
PREDICTION
HYBRID
IDENTIFICATION
CLASSIFIERS
DIAGNOSIS
Language eng
DOI 10.1016/j.cogsys.2018.12.001
Indigenous content off
Field of Research 1701 Psychology
1702 Cognitive Sciences
2203 Philosophy
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30134110

Document type: Journal Article
Collection: Deputy Vice-Chancellor Research Group
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 23 times in TR Web of Science
Scopus Citation Count Cited 29 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 15 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Thu, 30 Jan 2020, 13:36:26 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.