Enriching Representation Learning Using 53 Million Patient Notes through Human Phenotype Ontology Embedding
Maryam Daniali, Peter D. Galer, David Lewis‐Smith, Shridhar Parthasarathy, Edward Kim, Dario D. Salvucci, Jeffrey Morris Miller, Scott Haag, Ingo Helbig
The paper introduces a phenotype embedding technique using 53 million patient notes to enhance representation learning, showing improved phenotypic similarity and alignment with domain experts.
Artificial Intelligence in Medicine · May 1, 2023Peer-reviewedBioinformatics