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- Q98474036 description "artículu científicu espublizáu en xunetu de 2020" @default.
- Q98474036 description "scientific article published on 20 July 2020" @default.
- Q98474036 description "wetenschappelijk artikel" @default.
- Q98474036 description "наукова стаття, опублікована 20 липня 2020" @default.
- Q98474036 name "Can Machine Learning Methods Produce Accurate and Easy-to-Use Preoperative Prediction Models of One-Year Improvements in Pain and Functioning After Knee Arthroplasty?" @default.
- Q98474036 name "Can Machine Learning Methods Produce Accurate and Easy-to-Use Preoperative Prediction Models of One-Year Improvements in Pain and Functioning After Knee Arthroplasty?" @default.
- Q98474036 type Item @default.
- Q98474036 label "Can Machine Learning Methods Produce Accurate and Easy-to-Use Preoperative Prediction Models of One-Year Improvements in Pain and Functioning After Knee Arthroplasty?" @default.
- Q98474036 label "Can Machine Learning Methods Produce Accurate and Easy-to-Use Preoperative Prediction Models of One-Year Improvements in Pain and Functioning After Knee Arthroplasty?" @default.
- Q98474036 prefLabel "Can Machine Learning Methods Produce Accurate and Easy-to-Use Preoperative Prediction Models of One-Year Improvements in Pain and Functioning After Knee Arthroplasty?" @default.
- Q98474036 prefLabel "Can Machine Learning Methods Produce Accurate and Easy-to-Use Preoperative Prediction Models of One-Year Improvements in Pain and Functioning After Knee Arthroplasty?" @default.
- Q98474036 P1433 Q98474036-4B9F2747-E4DC-4876-9747-BEB8F407DD87 @default.
- Q98474036 P1476 Q98474036-158C1B05-4E1D-404E-B5BB-3B89146DC63A @default.
- Q98474036 P2093 Q98474036-1B4D4636-7D8C-466D-88F3-BF6DE75E98D9 @default.
- Q98474036 P2093 Q98474036-49482B35-03F3-4E88-80BF-E3B70B6DF504 @default.
- Q98474036 P2093 Q98474036-A79DE55A-F785-4EE2-80F3-6F75B2A97A9E @default.
- Q98474036 P2093 Q98474036-E5C86BB4-1D05-4B26-89A1-A9EE56D9A89A @default.
- Q98474036 P2093 Q98474036-E725BE81-8D27-47FA-A518-DFE2ADC0FBD1 @default.
- Q98474036 P2093 Q98474036-EE26F29A-02EF-43A9-A8F8-9C89AC853074 @default.
- Q98474036 P31 Q98474036-51D8BCA0-E684-4746-8A90-917ABE1752F3 @default.
- Q98474036 P356 Q98474036-A8435D18-84AB-4F58-AC48-47F3B33A24BB @default.
- Q98474036 P577 Q98474036-7B11A3A2-01FE-4008-83A0-94804CA45655 @default.
- Q98474036 P698 Q98474036-69B3BCB0-2498-456C-A2C3-92F694F9721C @default.
- Q98474036 P921 Q98474036-7D5089FC-F479-4FA3-8F60-927114AC14D9 @default.
- Q98474036 P356 J.ARTH.2020.07.026 @default.
- Q98474036 P698 32798181 @default.
- Q98474036 P1433 Q15757705 @default.
- Q98474036 P1476 "Can Machine Learning Methods Produce Accurate and Easy-to-Use Preoperative Prediction Models of One-Year Improvements in Pain and Functioning After Knee Arthroplasty?" @default.
- Q98474036 P2093 "Alex H S Harris" @default.
- Q98474036 P2093 "Alfred C Kuo" @default.
- Q98474036 P2093 "Luisa Manfredi" @default.
- Q98474036 P2093 "Narlina F Lalani" @default.
- Q98474036 P2093 "Nicholas J Giori" @default.
- Q98474036 P2093 "Thomas R Bowe" @default.
- Q98474036 P31 Q13442814 @default.
- Q98474036 P356 "10.1016/J.ARTH.2020.07.026" @default.
- Q98474036 P577 "2020-07-20T00:00:00Z" @default.
- Q98474036 P698 "32798181" @default.
- Q98474036 P921 Q2539 @default.