The invention relates to the technical field of
machine learning, in particular to a
cervical cancer assessment method based on high-risk
HPV genotyping data. The method comprises the following steps: collecting
cervical cancer high-risk HPV
genetic typing sample data; performing data preprocessing on the sample data; segmenting the sample data into model training data, model calibration data and model
verification data by adopting an equal-proportion layered random sampling method, and constructing a
cervical cancer positive probability prediction model according to the model training data; and predicting to-be-detected sample data according to the cervical
cancer positive probability prediction model. According to the technical scheme, the cervical
cancer positive probability prediction model is constructed based on the high-risk
HPV genotyping sample data and the
machine learning method, the prediction accuracy is improved by optimizing the model, the method can be applied to early screening of cervical
cancer, and valuable auxiliary reference information is provided for clinicians.