… in all machine learning prediction models. We confirmed that all machine learning prediction
models showed an accuracy of 90% or more for predicting disease recurrence in PTC. LNR …

… establish a model for predicting lateral neck lymph node metastasis in patients with papillary
thyroid carcinoma. A total of 106 patients with papillary thyroid carcinoma undergoing initial …

Objectives To screen out the predictors of central cervical lymph node metastasis (CLNM) for
papillary thyroid carcinoma (PTC) and establish a prediction model to guide the operation …

… data into one model. In this study, we aimed to construct a new diagnostic prediction model
of … based on BPNN and compare it with conventional multivariate logistic regression model. …

… risk factors and develop a predictive model of CLNM in PTC. … The risk factors were evaluated,
and the predictive model … the model, we plotted the nomogram of our predictive model …

… of intraoperative prediction … model (Figure 3D and Table S1), with an AUC of 0.732 (0.674–0.789,
95% CI). The AUCs of the preoperative prediction and intraoperative prediction models …

… (LNM) in patients with papillary thyroid carcinoma (PTC) is of … radiomics (TLR) model for
preoperative prediction of LNM in … report the TLR model produces a stable LNM prediction. In …

… We developed the first prediction model for skip metastasis … the predicted value of the model
is relatively common. … We developed a prediction model for skip metastasis to better guide …

… prediction model would improve preoperative diagnostic sensitivity for CNM in patients with
papillary thyroid carcinoma. … This study has established a prediction model and its scoring …

… On this basis, the prediction model developed in this study based on the five independent
risk factors identified following a thorough evaluation of preoperative clinical indicators and …