Early diagnosis of hereditary angioedema in japan based on a us medical dataset: algorithm development and validation

HIGHLIGHTS

• What: The authors aimed develop an artificial intelligence (AI) model that can detect patients with suspected HAE using history data (medical claims prescriptions and EMR) in the the authors and validate the detection performance of HAE cases. The authors conducted a pilot study at Kyoto University Hospital (KUHP) using the EMR data to verify the applicability of whether the model was applicable for medical data obtained from the Japanese population. The aim of this study was to verify whether this model could identify patients https://preprints.jmir.org/preprint/59858 Yamashita et al with a history of . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.