An Online System For Predicting Metastasis of LN.prRLN

Based on machine learing-XGBoost algorithmes
The Department of Breast and Thyroid Surgery, the First Affiliated Hospital of Chongqing Medical University

The machine-learning based model to predict Metastasis of LN.prRLN intraoperatively

Note:

This website sought to develop and validate model for predicting the risk of Metastasis of Lymph Node Posterior to the Recurrent Laryngeal Nerve (LN.prRLNM) in clinically node-negative PTC's using machine learning algorithms.Only input the patient's preoperative and intraoperative clinicopathological characteristics as the following to predict the likelihood of Metastasis of LN.prRLN.

Age
Size
Tumor border
Ratio of pretracheal Lymph node metastasis
Ipsilateral paratracheal lymph node metastases
Number of ipsilateral paratracheal lymph node metastases
Ratio of ipsilateral paratracheal lymph node metastasis
Total central lymph node metastasis
Number of Total central lymph node metastasis
Ratio of Total central lymph node metastasis

Output

 Calculate