论文信息 - External Validation of Natural Language Processing Algorithms to Extract Common Data Elements in THA Operative Notes. - 字舞流文

External Validation of Natural Language Processing Algorithms to Extract Common Data Elements in THA Operative Notes.

S. Sohn | D. Berry | D. Lewallen | B. Springer | S. Fu | C. Wyles | H. Maradit-Kremers | Nahir A. Habet | Taylor Rowe | Susan L. Odum

[1] W. Kremers,et al. Use of Natural Language Processing Algorithms to Identify Common Data Elements in Operative Notes for Knee Arthroplasty. , 2020, The Journal of arthroplasty.

[2] Martha L. Carvour,et al. Automated Detection of Periprosthetic Joint Infections and Data Elements Using Natural Language Processing. , 2020, The Journal of arthroplasty.

[3] Sunghwan Sohn,et al. Use of Natural Language Processing Algorithms to Identify Common Data Elements in Operative Notes for Total Hip Arthroplasty. , 2019, The Journal of bone and joint surgery. American volume.

[4] S. Sohn,et al. Use of Natural Language Processing Tools to Identify and Classify Periprosthetic Femur Fractures. , 2019, The Journal of arthroplasty.

[5] Steven H. Brown,et al. Automated identification of postoperative complications within an electronic medical record using natural language processing. , 2011, JAMA.

[6] George Hripcsak,et al. Automated detection of adverse events using natural language processing of discharge summaries. , 2005, Journal of the American Medical Informatics Association : JAMIA.