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

Decision Support for Health Professionals (1185) Machine Learning (1465)

Published on in Vol 6, No 4 (2018): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11301, first published .
Utilization of Electronic Medical Records and Biomedical Literature to Support the Diagnosis of Rare Diseases Using Data Fusion and Collaborative Filtering Approaches

Utilization of Electronic Medical Records and Biomedical Literature to Support the Diagnosis of Rare Diseases Using Data Fusion and Collaborative Filtering Approaches

Utilization of Electronic Medical Records and Biomedical Literature to Support the Diagnosis of Rare Diseases Using Data Fusion and Collaborative Filtering Approaches

Authors of this article:

Feichen Shen1 Author Orcid Image ;   Sijia Liu1 Author Orcid Image ;   Yanshan Wang1 Author Orcid Image ;   Andrew Wen1 Author Orcid Image ;   Liwei Wang1 Author Orcid Image ;   Hongfang Liu1 Author Orcid Image
Article Authors Cited by (25) Tweetations (5) Metrics

Feichen Shen   1 , PhD ;   Sijia Liu   1 , MS ;   Yanshan Wang   1 , PhD ;   Andrew Wen   1 , MS ;   Liwei Wang   1 , MD, PhD ;   Hongfang Liu   1 , PhD

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

Corresponding Author:

  • Hongfang Liu, PhD
  • Mayo Clinic
  • Department of Health Sciences Research
  • 200 1st street SW
  • Rochester, MN, 55905
  • United States
  • Phone: 1 5072930057
  • Fax: 1 5072841516
  • Email: liu.hongfang@mayo.edu