A survey on computational intelligence approaches for predictive modeling in prostate cancer
作者：
Highlights：
• 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.
摘要
•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.
论文关键词：Prostate cancer prediction,Predictive modeling,Computational intelligence,Machine learning,Soft computing,Disease classification,Evolutionary computation,Metaheuristic optimisation
论文评审过程：Received 21 July 2016, Revised 2 November 2016, Accepted 3 November 2016, Available online 9 November 2016, Version of Record 21 November 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.11.006
