Abstract Machine learning (ML) is a powerful and flexible tool that can be used to analyze
and predict outcomes from biological and clinical data. ML models have the potential to …

Abstract Machine learning (ML) is a burgeoning field of medicine with huge resources being
applied to fuse computer science and statistics to medical problems. Proponents of ML extol …

Abstract Machine learning (ML) has the potential to significantly aid medical practice.
However, a recent article highlighted some negative consequences that may arise from …

The technology at the heart of the most innovative progress in health care artificial
intelligence (AI) is in a subdomain called machine learning (ML), which describes the use of …

Due to the abundance of health data and growing computational power, machine learning
(ML) is engaging health researchers in a process of discovery around developing data …

This article is a review of the book “Master machine learning algorithms, discover how they
work and implement them from scratch”(ISBN: not available, 37 USD, 163 pages) edited by …

Machine learning is a novel discipline concerned with the analysis of large data and multiple
variables. It involves computationally intensive methods, is currently mainly the domain of …

With an increased number of medical data generated every day, there is a strong need for
reliable, automated evaluation tools. With high hopes and expectations, machine learning …

Abstract Machine learning (ML) algorithms are powerful prediction tools with immense
potential in the clinical setting. There are a number of existing clinical tools that use ML, and …

Steps to avoid overuse and misuse of machine learning in clinical research | Nature Medicine
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