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Developing Validated Tools to Identify Pulmonary Embolism in Electronic Databases: Rationale and Design of the PE-EHR+ Study.

Behnood BikdeliYing-Chih LoCandrika KhairaniAntoine BejjaniDavid JiménezAlexandru GrigoreanShiwani MahajanCesar CaraballoEric SecemskyFrederikus Albertus KlokAndetta HunsakerAyaz AghayevAlfonso MurielYun WangMohamad HussainAbena Appah-SampongYuan LuZhenqui LinSanjay AnejaRohan KheraSamuel Z GoldhaberLi ZhouManuel MonrealHarlan KrumholzGregory Piazza
Published in: Thrombosis and haemostasis (2023)
The PE-EHR+ study will help validate efficient tools for identification of patients with PE in EHRs, improving the reliability of efficient observational studies or randomized trials of patients with PE using electronic databases.
Keyphrases
  • pulmonary embolism
  • inferior vena cava
  • big data
  • machine learning
  • deep learning
  • artificial intelligence