Medical Prediction Using Loss Functions with Confusion Matrix Terms

A method, comprising:

• defining a loss function that includes at least one term derived from a confusion matrix;
• and
• using the loss function, training a machine learning model to make one or more medical predictions based on radiomic features, pathomic features, or a combination of radiomic features and pathomic features.

A method, comprising:

• providing a set of features extracted from medical images to a machine learning model pre-trained to make one or more medical predictions using a loss function that has at least one term derived from a confusion matrix;
• and
• receiving a medical prediction from the machine learning model.

A method, comprising:

• providing one or more medical images to a deep learning machine model pre-trained using a loss function with at least one term derived from a confusion matrix to make a medical prediction based on the one or more medical images;
• and
• receiving a medical prediction from the deep learning machine model.