Scientists from Peking University conducts a systematic review of studies on integrating machine learning into statistical methods in disease prediction models. Researchers from Peking University have ...

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...

Machine-learning models accurately pinpointed differences in immune responses in healthy controls and those living with HIV.