Published on in Vol 21, No 7 (2019): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14678, first published .
Multimedia Appendix Correction: Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017

Multimedia Appendix Correction: Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017

Multimedia Appendix Correction: Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017

Corrigenda and Addenda

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

2Center for Clinical and Translational Science, Commuity Engagement Program, Mayo Clinic, Rochester, MN, United States

3Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States

Corresponding Author:

Lixia Yao, PhD

Department of Health Sciences Research

Mayo Clinic

200 First Street SW

Rochester, MN, 55905

United States

Phone: 1 507 293 7953

Fax:1 507 284 1516

Email: Yao.Lixia@mayo.edu



The authors of “Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017” (J Med Internet Res 2019;21(4):e13316) have provided a new version of Multimedia Appendix 3.

The originally published version of Multimedia Appendix 3 contained raw treatment costs of diseases as disease burden in Table S6 that were calculated with claims data from OptumLabs. The sharing of raw data violates the data policy of OptumLabs, so those raw numbers have been removed.

The correction will appear in the online version of the paper on the JMIR website on July 5, 2019, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article also has been resubmitted to those repositories.

Multimedia Appendix 3

Patent coverage (Table S5), ROIs (Table S6), PHIs (Table S7), and topics (Tables S8 and S9) for over 600 diseases and medical conditions.

XLSX File (Microsoft Excel File), 25MB

Edited by G Eysenbach; This is a non–peer-reviewed article. submitted 10.05.19; accepted 13.06.19; published 05.07.19

Copyright

©Ming Huang, Maryam Zolnoori, Joyce E Balls-Berry, Tabetha A Brockman, Christi A Patten, Lixia Yao. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 05.07.2019.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.