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

Formative Evaluation of Digital Health Interventions (2422) Machine Learning (1471) Surveillance Systems (462) Infectious Diseases (non-STD/STI) (1576)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42832, first published .
Predicting Measles Outbreaks in the United States: Evaluation of Machine Learning Approaches

Predicting Measles Outbreaks in the United States: Evaluation of Machine Learning Approaches

Predicting Measles Outbreaks in the United States: Evaluation of Machine Learning Approaches

Authors of this article:

Boshu Ru1 Author Orcid Image ;   Stephanie Kujawski2 Author Orcid Image ;   Nelson Lee Afanador2 Author Orcid Image ;   Richard Baumgartner2 Author Orcid Image ;   Manjiri Pawaskar2 Author Orcid Image ;   Amar Das2 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Boshu Ru   1 , PhD ;   Stephanie Kujawski   2 , PhD ;   Nelson Lee Afanador   2 , PhD ;   Richard Baumgartner   2 , PhD ;   Manjiri Pawaskar   2 , PhD ;   Amar Das   2 , MD, PhD

1 Merck & Co, Inc, West Point, PA, United States

2 Merck & Co, Inc, Rahway, NJ, United States

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