• Integrated mining for cancer i...

Treffer: Integrated mining for cancer incidence factors from healthcare data

Title:
Integrated mining for cancer incidence factors from healthcare data
Authors:
XIAOLONG ZHANG, NARITA, Tetsuo
Source:
AM 2003 : active mining (Maebashi, 28 October 2003, revised selected papers)Lecture notes in computer science. :336-347
Publisher Information:
Berlin: Springer, 2005.
Publication Year:
2005
Physical Description:
print, 20 ref
Original Material:
INIST-CNRS
Subject Terms:
Documentation, Biomedical engineering, Génie biomédical, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Organisation des mémoires. Traitement des données, Memory organisation. Data processing, Traitement des données. Listes et chaînes de caractères, Data processing. List processing. Character string processing, Algorithme rétropropagation, Backpropagation algorithm, Algoritmo retropropagación, Analyse donnée, Data analysis, Análisis datos, Arbre décision, Decision tree, Arbol decisión, Cancérologie, Cancerology, Cancerología, Classification, Clasificación, Etude cas, Case study, Estudio caso, Extraction information, Information extraction, Extracción información, Fonction base radiale, Radial basis function, Función radial base, Fonction décision, Decision function, Función decisión, Fouille donnée, Data mining, Busca dato, Homme, Human, Hombre, Réseau neuronal, Neural network, Red neuronal, Santé publique, Public health, Salud pública, Système actif, Active system, Sistema activo, Tumeur maligne, Malignant tumor, Tumor maligno
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430081, China
ISV Solutions, IBM-Japan Application Solution Co., Ltd. 1-14 Nissin-cho, Kawasaki-ku, Kanagawa 210-8550, Japan
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=17134346
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.17134346
Database:
PASCAL Archive

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This paper describes how data mining is being used to identify primary factors of cancer incidences and living habits of cancer patients from a set of health and living habit questionnaires. Decision tree, radial basis function and back propagation neural network have been employed in this case study. Decision tree classification uncovers the primary factors of cancer patients from rules. Radial basis function method has advantages in comparing the living habits between a group of cancer patients and a group of healthy people. Back propagation neural network contributes to elicit the important factors of cancer incidences. This case study provides a useful data mining template for characteristics identification in healthcare and other areas.