Patel, J.; Ladani, A.; Sambamoorthi, N.; LeMasters, T.; Dwibedi, N.; Sambamoorthi, U.
A Machine Learning Approach to Identify Predictors of Potentially Inappropriate Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) Use in Older Adults with Osteoarthritis. Int. J. Environ. Res. Public Health 2021, 18, 155.
https://doi.org/10.3390/ijerph18010155
AMA Style
Patel J, Ladani A, Sambamoorthi N, LeMasters T, Dwibedi N, Sambamoorthi U.
A Machine Learning Approach to Identify Predictors of Potentially Inappropriate Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) Use in Older Adults with Osteoarthritis. International Journal of Environmental Research and Public Health. 2021; 18(1):155.
https://doi.org/10.3390/ijerph18010155
Chicago/Turabian Style
Patel, Jayeshkumar, Amit Ladani, Nethra Sambamoorthi, Traci LeMasters, Nilanjana Dwibedi, and Usha Sambamoorthi.
2021. "A Machine Learning Approach to Identify Predictors of Potentially Inappropriate Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) Use in Older Adults with Osteoarthritis" International Journal of Environmental Research and Public Health 18, no. 1: 155.
https://doi.org/10.3390/ijerph18010155
APA Style
Patel, J., Ladani, A., Sambamoorthi, N., LeMasters, T., Dwibedi, N., & Sambamoorthi, U.
(2021). A Machine Learning Approach to Identify Predictors of Potentially Inappropriate Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) Use in Older Adults with Osteoarthritis. International Journal of Environmental Research and Public Health, 18(1), 155.
https://doi.org/10.3390/ijerph18010155