Application of Machine Learning Algorithms to Predict Central Lymph Node Metastasis in T1-T2, Non-invasive, and Clinically Node Negative Papillary Thyroid Carcinoma

Frontiers in Medicine

Rui Huang¹  Jinxin Zheng²  Zhijun Dai²  Jiang Zhu³  Denghui Wang³  Xinliang Su³  Haoyu Ren⁴  Longfei Li⁵ 

[1] Department of Anesthesiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China;Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China;Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China;Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China;Department of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University, Munich, Germany;Department of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing, China;

关键词: papillary thyroid carcinoma;    central lymph node metastasis;    machine learning algorithms;    lymph node dissections;    prediction model;   

DOI  :  10.3389/fmed.2021.635771

来源: Frontiers

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