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Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization

Overview of attention for article published in Chiropractic & Manual Therapies, July 2020
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12 X users

Citations

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43 Mendeley
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Title
Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization
Published in
Chiropractic & Manual Therapies, July 2020
DOI 10.1186/s12998-020-00335-4
Pubmed ID
Authors

Brian C. Coleman, Samah Fodeh, Anthony J. Lisi, Joseph L. Goulet, Kelsey L. Corcoran, Harini Bathulapalli, Cynthia A. Brandt

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The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 14%
Student > Master 6 14%
Student > Ph. D. Student 4 9%
Other 2 5%
Student > Doctoral Student 2 5%
Other 3 7%
Unknown 20 47%
Readers by discipline Count As %
Medicine and Dentistry 8 19%
Agricultural and Biological Sciences 2 5%
Social Sciences 2 5%
Business, Management and Accounting 1 2%
Computer Science 1 2%
Other 3 7%
Unknown 26 60%