Published on in Vol 21, No 5 (2019): May
![Prediction of the 1-Year Risk of Incident Lung Cancer: Prospective Study Using Electronic Health Records from the State of Maine Prediction of the 1-Year Risk of Incident Lung Cancer: Prospective Study Using Electronic Health Records from the State of Maine](https://asset.jmir.pub/assets/6f70e5af6e8871233c980af229612ed5.png 480w,https://asset.jmir.pub/assets/6f70e5af6e8871233c980af229612ed5.png 960w,https://asset.jmir.pub/assets/6f70e5af6e8871233c980af229612ed5.png 1920w,https://asset.jmir.pub/assets/6f70e5af6e8871233c980af229612ed5.png 2500w)
1 Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan 250022, China
2 Department of Surgery, Stanford University, Stanford, CA, United States
3 Department of Oncology, The First Hospital of Shijiazhuang, Shijiazhuang, China
4 Department of Cardiothoracic Surgery, Stanford University, Stanford, CA, United States
5 Clinical and Translational Research Program, Betty Irene Moore Children's Heart Center, Lucile Packard Children’s Hospital, Palo Alto, CA, United States
6 Department of Bioengineering, University of California, Riverside, CA, United States
7 West China-California Multiomics Research Center, West China Hospital, Sichuan University, Chengdu, China
8 Department of Health Management, Hangzhou Normal University, Hangzhou, China
9 HBI Solutions Inc, Palo Alto, CA, United States
10 Lucile Packard Children’s Hospital, Palo Alto, CA, United States
11 HealthInfoNet, Portland, ME, United States
*these authors contributed equally