Machine learning models using patient-reported outcomes, wearables, and clinical data accurately predicted urgent care visits ...

Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...

A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported ...

This course offers a rigorous yet practical exploration of Bayesian reasoning for data-driven inference and decision-making. Students will gain a deep understanding of probabilistic modeling, and ...

Bayesian Learning is becoming more feasible and attracting greater interest in mining. But adopting it also comes with some challenges. For one thing, this is a highly specialised branch of statistics ...

A research team led by Oak Ridge National Laboratory has developed a new method to uncover the atomic origins of unusual ...

Creating a Proxy for Baseline Eastern Cooperative Oncology Group Performance Status in Electronic Health Records for Comparative Effectiveness Research in Advanced Non–Small Cell Lung Cancer ...

A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients ...