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

Machine Learning (1370) Clinical Information and Decision Making (1314) Electronic Health Records (961) Innovations and Technology in Cancer Care (400) Decision Support for Health Professionals (1127) Secondary Use of Clinical Data for Research and Surveillance (317) Precision Medicine (63) Precision Medicine and Genetics (40)

Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23586, first published .
Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study

Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study

Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study

Authors of this article:

Nansu Zong1 Author Orcid Image ;   Victoria Ngo2 Author Orcid Image ;   Daniel J Stone1 Author Orcid Image ;   Andrew Wen1 Author Orcid Image ;   Yiqing Zhao1 Author Orcid Image ;   Yue Yu1 Author Orcid Image ;   Sijia Liu1 Author Orcid Image ;   Ming Huang1 Author Orcid Image ;   Chen Wang1 Author Orcid Image ;   Guoqian Jiang1 Author Orcid Image
Article Authors Cited by (11) Tweetations (3) Metrics

Nansu Zong   1 , PhD ;   Victoria Ngo   2 , PhD ;   Daniel J Stone   1 , BSc ;   Andrew Wen   1 , MSc ;   Yiqing Zhao   1 , PhD ;   Yue Yu   1 , PhD ;   Sijia Liu   1 , PhD ;   Ming Huang   1 , PhD ;   Chen Wang   1 , PhD ;   Guoqian Jiang   1 , MD, PhD

1 Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States

2 University of California Davis Health, Sacramento, CA, United States

Corresponding Author: