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

Statistical machine learning is at the core of modern-day advances in artificial intelligence, but a Rochester Institute of Technology professor argues that applying it correctly requires equal parts ...

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 ...

Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...

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

Selection of appropriate adjuvant therapy to ultimately reduce the risk of breast cancer (BC) recurrence is a challenge for medical oncologists. Several automated risk prediction models have been ...

A Rochester Institute of Technology professor is teaming up with the Rochester Police Department (RPD) to use statistical machine learning to analyze body-worn camera footage and help improve police ...

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...