Submission Deadline: 24 June 2021 (closed) View: 119
The advancement of machine learning and computational methods has become a driving force for global healthcare development and transformation. Machine learning allows a system to learn from the environment, through re-iterative processes. Along with the computational methods it also improves itself from experience. Recently, machine learning has gained massive attention across numerous fields, and is making it easy to model data extremely well, without the importance of using strong assumptions about the modeled system. The goal of this thematic issue is to explore how machine learning and Evolutionary Algorithms can help in the cancer detection and prediction. Specifically, innovative contributions that either solve or advance the understanding of issues related to new technologies and applications in the real world in the direction of cancer detection and prediction are very welcome.