Construction of the clinical predictive model
tumour
TUMOUR
We collected the following clinical data of the cohorts as potential variables for the predictive model: patient age, sex, the energy of RFA, the average diameter of the original tumour, and RFA range at different time points (1 day after RFA and 1 month after RFA). In addition, the RFA focus absorbtion time of each patient were also documented and gathered as endpoint of our research. Based on these clinical data from The Second Affiliated Hospital Zhejiang University School of Medicine, the training set of our predictive model had a size of 123 people, and the test set had a size of 53 people. The construction of the model was based on R software.