One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

A research team led by Professor Takuya Yamamoto and Assistant Professor Ryusaku Matsumoto (Department of Life Science ...

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

The integration of machine learning into clinical decision making is becoming increasingly popular, 39 and regulatory agencies are beginning to recognize digital biomarkers as primary end points for ...

To mitigate this challenge, we investigate how Machine Learning (ML) techniques, including Extreme Gradient Boosting (XGBoost), Convolutional Neural Network (CNN), and Graph Neural Network (GNN) can ...

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 ...

Journal reference: Rajagopalan SS, Zhang Y, Yahia A, Tammimies K. (2024) Machine Learning Prediction of Autism Spectrum Disorder From a Minimal Set of Medical and Background Information.