Assessing document section heterogeneity across multiple electronic health record systems for computational phenotyping: a case study of heart-failure phenotyping algorithm

HIGHLIGHTS

• who: Sungrim Moon et al. from the University of California Los Angeles David Geffen have published the research work: Assessing document section heterogeneity across multiple electronic health record systems for computational phenotyping: A case study of heart-failure phenotyping algorithm, in the Journal: PLOS ONE of March/18,/2023
• what: The authors explored the use of embedding-based machine_learning (ML) classifiers to detect corresponding sections among different EHRs, which were trained using a labeled corpus automatically extracted from the GEC system and evaluated using a blind test set sampled across four EHR systems using HF . . .
  

   

  

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