The goal of the data-mining project would be the development of a prediction model for TRM at 100 days and 1 year post-allogeneic HSCT for acute leukemia patients, thus aiding evaluation and ...

In the model acquisition phase, extraneous features are used as input components for machine learning, and a random forest algorithm is used ... This cycle requirement is data collection planning, ...

A new tool has been developed to better assess the performance of AI models. It was developed by bioinformaticians at ...

Sadly, Goldstein and Wernick are repeating a common misconception about data mining ... and that algorithm is blatantly racist but even mildly successful at predicting job performance, this ...