Young-Jae Kim, Chanam Lee
Built and Natural Environmental Correlates of Parental Safety Concerns for Children's Active Travel to School
International journal of environmental research and public health
use heuristic deep learning dl hybrid ai methods predict semantic group sg assignments new umls metathesaurus atoms target accuracy 95 used traintest datasets successive 2020aa2022ab umls metathesaurus releases heuristic waterfall approach employed sequence 7 different sg prediction methods atoms qualifying method passed next method dl approach generated biowordvec sapbert embeddings atom names biowordvec embeddings source vocabulary names biowordvec embeddings atom names secondtotop nodes atoms source hierarchy fed concatenation 4 embeddings fully connected multilayer neural network output layer 15 nodes one sg approaches developed methods estimate probability predicted sg atom would correct based estimations developed 2 hybrid sg prediction methods combining strengths heuristic dl methods heuristic waterfall approach accurately predicted 943 sgs 1 563 692 new unseen atoms dl accuracy dataset also 943 hybrid approaches achieved average accuracy 965 study demonstrated ai methods predict sg assignments new umls atoms sufficient accuracy potentially useful intermediate step timeconsuming task assigning new atoms umls concepts showed sg prediction combining heuristic methods dl methods produce better results either alone