Artificial Intelligence–Based Traditional Chinese Medicine Assistive Diagnostic System: Validation Study

doi:10.2196/17608

JMIR Medical Informatics

Browse by Year:

Browse:
Issues
Authors
Themes

Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Readers: No access to all 28 journals. We recommend accessing our articles via PubMed Central
Authors: No access to the submission form or your user account.
Reviewers: No access to your user account. Please download manuscripts you are reviewing for offline reading before Wednesday, July 01, 2020 at 7:00 PM.
Editors: No access to your user account to assign reviewers or make decisions.
Copyeditors: No access to user account. Please download manuscripts you are copyediting before Wednesday, July 01, 2020 at 7:00 PM.

JMIR Medical Informatics

Impact Factor 2.58

Citation

Please cite as:

Loading authors...

Export Metadata

Download:

Published on 15.06.20 in Vol 8, No 6 (2020): June

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

Works citing "Artificial Intelligence–Based Traditional Chinese Medicine Assistive Diagnostic System: Validation Study"

Hong Zhang, Wandong Ni, Jing Li, Jiajun Zhang

JMIR Med Inform 2020 (Jun 15); 8(6):e17608

According to Crossref, the following articles are citing this article (DOI 10.2196/17608):

(note that this is only a small subset of citations)

No citing articles found.

JMIR Medical Informatics

Citing this Article

Published on 15.06.20 in Vol 8, No 6 (2020): June

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

Works citing "Artificial Intelligence–Based Traditional Chinese Medicine Assistive Diagnostic System: Validation Study"