Prediction of Recurrence in Patients with Cervical Cancer Using MARS and Classification

@inproceedings{ChangPredictionOR,
  title={Prediction of Recurrence in Patients with Cervical Cancer Using MARS and Classification},
  author={C Chang and S Cheng and C Lu and Kuo-Hsiung Liao}
}
This study applied advanced data mining techniques for recurrent cervical cancer in survival analysis. The medical records and pathology were accessible by the Chung Shan Medical University Hospital Tumor Registry. Following a literature review, expert consultation, and collection of patients’ data, twelve variables studied included age, cell type, tumor grade, tumor size, pT, pStage, surgical margin involvement, LNM, Number of Fractions of Other RT, RT target Summary, Sequence of Locoregional… CONTINUE READING

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