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- Automated detection of adverse events using natural language processing of discharge summaries.J Am Med Inform Assoc. 2005; 12: 448-457
- Automated identification of postoperative complications within an electronic medical record using natural language processing.JAMA. 2011; 306: 848-855
- Use of natural language processing algorithms to identify common data elements in operative notes for total hip arthroplasty.J Bone Joint Surg Am. 2019; 101: 1931-1938
- Use of natural language processing algorithms to identify common data elements in operative notes for knee arthroplasty.J Arthroplasty. 2021; 36: 922-926
- More data please! The evolution of orthopaedic research: commentary on an article by Cody C. Wyles, MD, et al.: “use of natural language processing algorithms to identify common data elements in operative notes for total hip arthroplasty”.J Bone Joint Surg Am. 2019; 101: e118
- Automated detection of periprosthetic Joint infections and data elements using natural language processing.J Arthroplasty. 2021; 36: 688-692
- Use of natural language processing tools to identify and classify periprosthetic femur fractures.J Arthroplasty. 2019; 34: 2216-2219
Publication stageIn Press Journal Pre-Proof
Funding: This work was funded in part by National Institutes of Health (NIH) [grant numbers R01AR73147 and P30AR76312 ] and supported by the American Joint Replacement Research-Collaborative (AJRR-C) .
Investigation performed jointly at the Mayo Clinic in Rochester, MN and the OrthoCarolina Research Institute in Charlotte, NC.