Development of a web-based liver cancer prediction model for type II diabetes patients by using an artificial neural network

Highlights • Developed a liver cancer prediction model for type II diabetic patients. • Found the risk factors of liver cancer for type II diabetic patients. • Built a web-based application for liver cancer prediction for diabetic patient. • Provided methods and model facilitating clinicians to remi...

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Published inComputer methods and programs in biomedicine Vol. 125; pp. 58 - 65
Main Authors Rau, Hsiao-Hsien, Hsu, Chien-Yeh, Lin, Yu-An, Atique, Suleman, Fuad, Anis, Wei, Li-Ming, Hsu, Ming-Huei
Format Journal Article
LanguageEnglish
Published Ireland Elsevier Ireland Ltd 01.03.2016
Subjects
Artificial neural network
Cancer
Diabetes
Diabetes Mellitus, Type 2 - complications
Health data analysis
Humans
Internal Medicine
Internet
Learning theory
Liver
Liver Neoplasms - complications
Liver Neoplasms - pathology
Mathematical models
Neural networks
Neural Networks (Computer)
Other
Patients
Prediction model
Risk Factors
Training
Health data analysis
Prediction model
Artificial neural network
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Summary:Highlights • Developed a liver cancer prediction model for type II diabetic patients. • Found the risk factors of liver cancer for type II diabetic patients. • Built a web-based application for liver cancer prediction for diabetic patient. • Provided methods and model facilitating clinicians to remind those diabetic patients prevent liver cancer as early as possible.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:0169-2607
1872-7565
DOI:10.1016/j.cmpb.2015.11.009