资讯

ascopubs.org2 年

Machine Learning Models Using Routinely Collected Clinical Data Offer Robust and ...

Predicting Response of Triple-Negative Breast Cancer to Neoadjuvant Chemotherapy Using a Deep Convolutional Neural Network–Based Artificial Intelligence Tool We used aggregated electronic health ...
VentureBeat3 年

Data literacy deep dive: An introduction to AI, ML and prediction literacy

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Data, AI, ML and prediction literacy are ...
International Monetary Fund2 年

Surrogate Data Models: Interpreting Large-scale Machine Learning Crisis Prediction Models

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use ...
EurekAlert!8月

ECMWF unveils groundbreaking ML tool for enhanced fire prediction

The ability to predict wildfires - such as those that recently devastated Los Angeles and Canada - is advancing rapidly with the help of ML–driven high-quality data ...
ascopubs.org2 年

Prediction of Venous Thromboembolism in Patients With Cancer Using Machine Learning ...

Physical Examination in Medical Oncology Guiding the Development of a Protocol for Teleoncology Care in a Public Health Care Oncology Service The prediction ML models showed good performance to ...
insideHPC3 年

MIT: Forcing ML Models to Avoid Shortcuts (and Use More Data) for Better Predictions

CAMBRIDGE, Mass. — If your Uber driver takes a shortcut, you might get to your destination faster. But if a machine learning model takes a shortcut, it might fail in unexpected ways. In machine ...