A survey on computational intelligence approaches for predictive modeling in prostate cancer

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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 Brown^a ; ^{david.brown@ntu.ac.uk" class="auth_mail" title="E-mail the corresponding author} ; Matthew Archer^a ; ^{m.archer1992@hotmail.co.uk" class="auth_mail" title="E-mail the corresponding author} ; Masood Khan^b ; ^{masood.khan@uhl-tr.nhs.uk" class="auth_mail" title="E-mail the corresponding author} ; A. Graham Pockley^c ; ^{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

•: Focus is on computational intelligence methods in prostate cancer predictive modeling.
•: We survey metaheuristic optimisation methods.
•: We review machine learning methods.
•: We consider cancer data of different modalities.
•: We discuss recent advances, challenges and provide future directions.

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