A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

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 ...

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

A global study shows machine learning improves survival predictions for hospitalised cirrhosis patients, outperforming ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

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 ...

Open in Viewer Fig 2. Receiver operating characteristic curve of the machine learning CLL/MBL risk classifier model showing prediction performance for ALC ≥5.0 × 10 9 /L and ≥40% lymphocytes. The ...

New research presented during the 2024 San Antonio Breast Cancer Symposium (SABCS) reveals a new machine learning model that could change the way metastatic breast cancer is treated in the future. By ...