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Machine learning (ML) techniques can be used to semiautomate the literature review process and improve efficiency. In this study, we detail our approach and provide practical benchmarks for the ...
Machine learning, in which artificial intelligence autonomously acquires and applies new knowledge, will soon enable researchers to develop complex material systems in a purely virtual environment.
The objective of this review is to provide an overview of machine learning (ML) in oncology from a methods and applications perspective and to offer a framework for leveraging ML in clinical decision ...
Our findings suggest that integrating machine learning into traditional statistical methods can provide more accurate and generalizable models for disease risk prediction.
Machine learning is revolutionizing industries by processing vast datasets, unlocking insights, and expanding our understanding of complex challenges.
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