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 ...

This module starts with an overview of data mining methods, then focuses on frequent pattern analysis, including the Apriori algorithm and FP-growth algorithm ... It also discusses classification ...

The performance of a text mining algorithm in capturing disease progression ... was transferred to hospitals 3 and 4 for external evaluation. Finally, in step three (the real-time simulation) data ...