Evaluating the feasibility of machine-learning-based predictive models for precancerous cervical lesions in patients referred for colposcopy

HIGHLIGHTS

• who: Mingyang Chen and collaborators from the School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China have published the article: Evaluating the Feasibility of Machine-Learning-Based Predictive Models for Precancerous Cervical Lesions in Patients Referred for Colposcopy, in the Journal: Diagnostics 2022, 3066 of /2022/
• what: This study evaluates the feasibility of machine learning (ML) models for predicting high-grade squamous intraepithelial lesions or worse (HSIL+) in patients referred for colposcopy by combining colposcopic findings with demographic and screening results. Subgroup analysis was conducted . . .
  

   

  

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