A survey on computational intelligence approaches for predictive modeling in prostate cancer
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- 作者：Georgina Cosma ; a ; georgina.cosma@ntu.ac.uk" class="auth_mail" title="E-mail the corresponding author ; David Browna ; david.brown@ntu.ac.uk" class="auth_mail" title="E-mail the corresponding author ; Matthew Archera ; m.archer1992@hotmail.co.uk" class="auth_mail" title="E-mail the corresponding author ; Masood Khanb ; masood.khan@uhl-tr.nhs.uk" class="auth_mail" title="E-mail the corresponding author ; A. Graham Pockleyc ; graham.pockley@ntu.ac.uk" class="auth_mail" title="E-mail the corresponding author
- 关键词：Prostate cancer prediction ; Predictive modeling ; Computational intelligence ; Machine learning ; Soft computing ; Disease classification ; Evolutionary computation ; Metaheuristic optimisation
- 刊名：Expert Systems with Applications
- 出版年：2017
- 出版时间：15 March 2017
- 年：2017
- 卷：70
- 期：Complete
- 页码：1-19
- 全文大小：2412 K
文摘
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Focus is on computational intelligence methods in prostate cancer predictive modeling.
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We survey metaheuristic optimisation methods.
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We review machine learning methods.
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We consider cancer data of different modalities.
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We discuss recent advances, challenges and provide future directions.