| Títol: | Machine learning in human cancer research |
| Autor: | Vellido Alcacena, Alfredo
Lisboa, Paulo J.G. |
| Altres autors/autores: | Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics |
| Editorial: | Nova Science Publishers |
| Matèries: | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic
Cancer -- Research
Cancer research
Machine learning
Data analysis
Decision support systems
Càncer -- Investigació
Aprenentatge automàtic
Sistemes d'ajuda a la decisió |
| Tipus de document: | Part of book or chapter of book |
| Descripció: | Evidence-based medicine has grown in stature over three decades and is now regarded a key development of modern medicine. The evidence base can be heterogeneous, involving both qualitative knowledge and measured quantitative data. Data analysis in the area of cancer research has for long been the playing field of statisticians but, over the last decade, Machine Learning (ML) methods have also begun to establish themselves an an alternative and promising approach to computer-based data analysis in oncology. In this chapter, we provide a state-of-the-art in the main areas of cancer research in which ML methods are currently being applied, and discuss some of the advantages and disadvantages of their application. We also comment on and illustrate the integration of ML methods in clinical oncology decision support systems. |
| Altres identificadors i accés: | Vellido, A.; Lisboa, P. Machine learning in human cancer research. A: "Neurocomputing research developments". Nova Science Publishers, 2007, p. 163-180.
1600219314 / 9781600
http://hdl.handle.net/2117/15684 |
| Disponible al dipòsit: | E-prints UPC
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