Machine learning models showed strong predictive performance for 5-year survival in stage III colorectal cancer patients, with AUC values between 0.766 and 0.791. Key prognostic factors identified ...

Researchers in China used machine learning to create diagnostic and prognostic models to aid in identifying idiopathic ...

Data was split into training (80%) and testing (20%) sets. For the prediction task, we applied GPT-4o and compared with XGBoost, one of the strongest non-generative machine learning models. We used ...

Alternative lending is a vital source of credit for consumers underserved by traditional banks. This study examines how integrating additional data and advanced machine learning enhances default ...

Discover a study validating the TRIUMPH machine learning model, which improves prediction of post-transplant recurrence in ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

We used supervised machine learning approaches across 3 predictive tasks (Figure 1). Model features (chronic conditions) were determined using a priori clinical knowledge and preprocessed differently ...

Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...