# OnCo record multimodal-fusion (term). Data CC BY-NC 4.0, attribute "Data from OnCo (onco.cc)". Whole corpus: https://onco.cc/api/v1/onco.nt
@prefix schema: <https://schema.org/> .
@prefix onco: <https://onco.cc/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://onco.cc/terms/multimodal-fusion/>
  a schema:DefinedTerm ;
  onco:kind "term" ;
  schema:identifier "multimodal-fusion" ;
  schema:name "Multimodal fusion (early, late, modality dropout)"@en ;
  schema:alternateName "multimodal fusion"@en, "multimodal model"@en, "multimodal learning"@en, "modality fusion"@en, "early fusion"@en, "late fusion"@en, "modality dropout"@en, "attention masking over modalities"@en, "missing modalities"@en ;
  schema:description "Multimodal fusion combines several kinds of data about one patient (slides, expression, mutations, clinical variables) in one model; modality dropout randomly hides modalities during training so the model still works when some are missing."@en ;
  schema:url <https://onco.cc/terms/multimodal-fusion/> ;
  schema:dateModified "2026-09-24"^^xsd:date ;
  schema:sameAs <https://en.wikipedia.org/wiki/Multimodal_learning> ;
  schema:citation <https://en.wikipedia.org/wiki/Dropout_(neural_networks)>, <https://doi.org/10.1016/j.ccell.2022.07.004>, <https://en.wikipedia.org/wiki/Multimodal_learning> ;
  onco:tag "cansim-terms" ;
  onco:related <https://onco.cc/terms/cancer-ai-vocabulary/> ;
  onco:terms <https://onco.cc/terms/transformer-architecture/>, <https://onco.cc/terms/contrastive-learning/>, <https://onco.cc/terms/ablation-study/>, <https://onco.cc/terms/pca/> .