This paper is in the following e-collection/theme issue:

Natural Language Processing (636) Clinical Information and Decision Making (1314) Electronic Health Records (961) Machine Learning (1370) Secondary Use of Clinical Data for Research and Surveillance (317)

Published on in Vol 10, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35475, first published .
Using Natural Language Processing and Machine Learning to Preoperatively Predict Lymph Node Metastasis for Non–Small Cell Lung Cancer With Electronic Medical Records: Development and Validation Study

Using Natural Language Processing and Machine Learning to Preoperatively Predict Lymph Node Metastasis for Non–Small Cell Lung Cancer With Electronic Medical Records: Development and Validation Study

Using Natural Language Processing and Machine Learning to Preoperatively Predict Lymph Node Metastasis for Non–Small Cell Lung Cancer With Electronic Medical Records: Development and Validation Study

Authors of this article:

Danqing Hu1 Author Orcid Image ;   Shaolei Li2 Author Orcid Image ;   Huanyao Zhang1 Author Orcid Image ;   Nan Wu2 Author Orcid Image ;   Xudong Lu1 Author Orcid Image
Article Authors Cited by (6) Tweetations (14) Metrics

Danqing Hu   1 * , MSc ;   Shaolei Li   2 * , MD ;   Huanyao Zhang   1 , MSc ;   Nan Wu   2 , MD ;   Xudong Lu   1 , PhD

1 College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, China

2 Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Xudong Lu, PhD
  • College of Biomedical Engineering and Instrumental Science
  • Zhejiang University
  • 38 Zheda Road
  • Hangzhou, 310027
  • China
  • Phone: 86 139 5711 8891
  • Email: lvxd@zju.edu.cn