For chronic kidney disease for example, the Random Forest algorithm had precision at 0.972 and recall at 0.946, out of a perfect 1.000. After the cost-sensitivity was added, the algorithm improved ...

While ML algorithms do not have an emotional component, our psychological makeup is such that we do and it is stored in the brain, and accessed via a neural pathway.

Machine learning (ML) is the study of computer systems that automatically improve with experience, a hot topic in the last few years, but a concept that's been ...

Google and Verily have been leveraging ML to screen for the two leading causes of preventable blindness in adults. This algorithm is now being used in a clinical setting, while the European Union ...

ML algorithms can analyze email content, including subtle cues and patterns that are typically overlooked, to identify and flag phishing emails. 3. Analyze cyber threat trends in real time.

Research from Florida International University’s College of Business (FIU Business) found that a machine learning (ML) algorithm that uses hospital data and social determinants of health data can help ...

This month, we begin a series that looks more deeply into machine learning (ML) algorithms that extract patterns from data to generate insight 4,5. In this primer, ...