Authors’ Response to Peer Reviews of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study”-Reference-Cited by-同舟云学术

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Authors’ Response to Peer Reviews of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study”

Published:2021-06-11 Issue:2 Volume:2 Page:e28917
ISSN:2563-6316
Container-title:JMIRx Med
language:en
Short-container-title:JMIRx Med

Author:

Surodina Svitlana^ORCID,Lam Ching^ORCID,Grbich Svetislav^ORCID,Milne-Ives Madison^ORCID,van Velthoven Michelle^ORCID,Meinert Edward^ORCID

Abstract

Publisher

JMIR Publications Inc.

Subject

General Medicine

Reference8 articles.

1. Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study

2. Peer Review of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study”

3. Peer Review of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study”

4. Data User AgreementNational Center for Health Statistics, Centers for Disease Control and Prevention2021-05-31https://www.cdc.gov/nchs/data_access/restrictions.htm

5. Development of an Innovative Real-World Evidence Registry for the Herpes Simplex Virus: Case Study

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