In an analysis of more than 16,000 GLP-1 users, 70% of blood sugar readings came only from written clinical notes. Each extracted fact remained linked to its source sentence. [link] doi.org/hcjv2p
RP @smcgrath.phd: Fewer than 20% of EHR data sits in coded fields; the rest stays trapped in clinician notes. A new framework extracts atomic facts into an 88M-node knowledge graph across 1M visits, matching physician review with a 99.4% F1 score to re…
RP @smcgrath.phd: Fewer than 20% of EHR data sits in coded fields; the rest stays trapped in clinician notes. A new framework extracts atomic facts into an 88M-node knowledge graph across 1M visits, matching physician review with a 99.4% F1 score to re…
Fewer than 20% of EHR data sits in coded fields; the rest stays trapped in clinician notes. A new framework extracts atomic facts into an 88M-node knowledge graph across 1M visits, matching physician review with a 99.4% F1 score to reconstruct longitud…