Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). EHR phenotyping via jointly embedding medical concepts and words into a unified vector space. Retrieved May 24, 2026, from https://4ort.xyz/entity/ehr-phenotyping-via-jointly-embedding-medical-concepts-and-words-into-a-unified-vector-space
MLA“EHR phenotyping via jointly embedding medical concepts and words into a unified vector space.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ehr-phenotyping-via-jointly-embedding-medical-concepts-and-words-into-a-unified-vector-space.
BibTeX@misc{4ortxyz_ehr-phenotyping-via-jointly-embedding-medical-concepts-and-words-into-a-unified-vector-space_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EHR phenotyping via jointly embedding medical concepts and words into a unified vector space}}, year = {2026}, url = {https://4ort.xyz/entity/ehr-phenotyping-via-jointly-embedding-medical-concepts-and-words-into-a-unified-vector-space}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EHR phenotyping via jointly embedding medical concepts and words into a unified vector space — https://4ort.xyz/entity/ehr-phenotyping-via-jointly-embedding-medical-concepts-and-words-into-a-unified-vector-space (retrieved 2026-05-24)