Detection of primary sjögren’s syndrome in primary care: developing a classification model with the use of routine healthcare data and machine learning

HIGHLIGHTS

• who: Jesper T. Dros from the Institute for Health Services Research (NIVEL), Utrecht, the have published the paper: Detection of primary Sjögren’s syndrome in primary care: developing a classification model with the use of routine healthcare data and machine learning, in the Journal: (JOURNAL)
• what: The authors aimed to apply machine_learning (ML) techniques to data from routinely recorded electronic health records (EHRs) from general practitioners (GPs) and to develop an algorithm that identifies possible pSS patients at an early stage. The aim of the study was to develop a classification model to identify . . .
  

   

  

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