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Found 3 papers, 1 papers with code
Review of multimodal machine learning approaches in healthcare
Machine learning methods in healthcare have traditionally focused on using data from a single modality, limiting their ability to effectively replicate the clinical practice of integrating multiple sources of information for improved decision making.
Exploring the landscape of large language models in medical question answering
For each question, we score each model on the top-1 accuracy and the distribution of probabilities assigned.
Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection
The second model is the output of DBRes integrated with demographic data and signal features using XGBoost. DBRes achieved our best weighted accuracy of $0. 771$ on the hidden test set for murmur classification, which placed us fourth for the murmur task.
Ranked #1 on
Classify murmurs
on CirCor DigiScope
