Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data

MARIO Challenge MICCAI 2024

Overview of DS, Classification Tree, Regression Tree, Logistic Regression, Multiple Linear Regression, Random Forest Classifiers, p-value approach to Decision Tree, Disease Progression Models, Neural Networks and Deep Learning.

Prototypes for EHR-sequencing and temporal phenotyping. Key methods: sequence models, LSTM, attention mechanism, cluster analysis, word & document embeddings, and other NLP methods.