Multi-target regression and predictive clustering techniques constitute a rapidly evolving area within the field of machine learning. In multi-target regression, models are designed to predict a ...

This course covers nonparametric modeling of complex, nonlinear predictive relationships in data with categorical (classification) and numerical (regression) response variables. Supervised learning ...

The models were developed using linear and nonlinear algorithms, predicting survival, nonlocal failure, radiation-induced liver disease, and lymphopenia from baseline patient and treatment parameters.

CAR T-cell therapy has revolutionized cancer treatment for B cell and plasma cell malignancies, turning patients’ own immune cells into cancer-fighting superheroes—but even superheroes can cause ...

Indication-Specific Generic Uptake of Imatinib Demonstrates the Impact of Skinny Labeling Participants with stage I-III breast cancer were prospectively included from CANTO (ClinicalTrials.gov ...

New research reveals a model to predict chronic immune thrombocytopenia in children at diagnosis. Learn how it could guide ...

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

Electronic health record data can be used to predict patient absenteeism accurately. Predictive overbooking of missed appointments can significantly increase service utilization. ABSTRACTObjectives: ...

In Boston, where anything short of a championship is a failure, the future of sports prediction isn’t coming from instinct — ...