Reliability of non-contact tongue diagnosis for sjögren`s syndrome using machine learning method

HIGHLIGHTS

• who: Keigo Noguchi from the the Tsurumi University have published the research work: Reliability of non-contact tongue diagnosis for Sju00f6gren`s syndrome using machine learning method, in the Journal: Scientific Reports Scientific Reports
• what: In this experiment, the best scores were obtained using PCA, and the results revealed that SVM was the most suitable classification algorithm for predicting SS, followed by RF, and finally LR. Although the AUC could not be calculated in this study and was compared with the mAP value, the prediction performance of the u00adstudy10 is considered to be higher than . . .
  

   

  

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