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- Q91706011 description "artículu científicu espublizáu en marzu de 2020" @default.
- Q91706011 description "im März 2020 veröffentlichter wissenschaftlicher Artikel" @default.
- Q91706011 description "scientific article published on 18 March 2020" @default.
- Q91706011 description "wetenschappelijk artikel" @default.
- Q91706011 description "наукова стаття, опублікована 18 березня 2020" @default.
- Q91706011 name "Development of Machine Learning Algorithms to Predict Clinically Meaningful Improvement for the Patient-Reported Health State After Total Hip Arthroplasty" @default.
- Q91706011 name "Development of Machine Learning Algorithms to Predict Clinically Meaningful Improvement for the Patient-Reported Health State After Total Hip Arthroplasty" @default.
- Q91706011 type Item @default.
- Q91706011 label "Development of Machine Learning Algorithms to Predict Clinically Meaningful Improvement for the Patient-Reported Health State After Total Hip Arthroplasty" @default.
- Q91706011 label "Development of Machine Learning Algorithms to Predict Clinically Meaningful Improvement for the Patient-Reported Health State After Total Hip Arthroplasty" @default.
- Q91706011 prefLabel "Development of Machine Learning Algorithms to Predict Clinically Meaningful Improvement for the Patient-Reported Health State After Total Hip Arthroplasty" @default.
- Q91706011 prefLabel "Development of Machine Learning Algorithms to Predict Clinically Meaningful Improvement for the Patient-Reported Health State After Total Hip Arthroplasty" @default.
- Q91706011 P1433 Q91706011-2514F9DA-14FC-4284-9E71-8C95E312A7FB @default.
- Q91706011 P1476 Q91706011-F6904B5D-C72C-466A-992E-00FC635B5D82 @default.
- Q91706011 P2093 Q91706011-708DB8FA-FAE0-49E4-968E-4DBDCBE46885 @default.
- Q91706011 P2093 Q91706011-7E357A62-C49B-43AB-B6E7-12F88FD68190 @default.
- Q91706011 P2093 Q91706011-8D11E559-6B36-4492-88F9-D53355342BA5 @default.
- Q91706011 P2093 Q91706011-A4FB7340-CE86-4B11-B5B7-0BC8FC3033A3 @default.
- Q91706011 P2093 Q91706011-F6ED6970-AD1A-4A04-902A-AD7A24D4FF4F @default.
- Q91706011 P31 Q91706011-05428A18-CFDD-4ED2-90BC-158644A7A1BC @default.
- Q91706011 P356 Q91706011-972011E9-9DB8-4540-AFC5-02BF59F2142A @default.
- Q91706011 P577 Q91706011-68D1E02E-2C5F-4B37-83FE-82BD1B8499AF @default.
- Q91706011 P698 Q91706011-163813C9-0E12-43B4-933A-04FAA363DA4B @default.
- Q91706011 P921 Q91706011-0B298F1B-C91D-4220-BA52-FD506E78AFA0 @default.
- Q91706011 P356 J.ARTH.2020.03.019 @default.
- Q91706011 P698 32265141 @default.
- Q91706011 P1433 Q15757705 @default.
- Q91706011 P1476 "Development of Machine Learning Algorithms to Predict Clinically Meaningful Improvement for the Patient-Reported Health State After Total Hip Arthroplasty" @default.
- Q91706011 P2093 "Aditya V Karhade" @default.
- Q91706011 P2093 "Alex J Sadauskas" @default.
- Q91706011 P2093 "Brett R Levine" @default.
- Q91706011 P2093 "Joseph H Schwab" @default.
- Q91706011 P2093 "Kyle N Kunze" @default.
- Q91706011 P31 Q13442814 @default.
- Q91706011 P356 "10.1016/J.ARTH.2020.03.019" @default.
- Q91706011 P577 "2020-03-18T00:00:00Z" @default.
- Q91706011 P698 "32265141" @default.
- Q91706011 P921 Q2539 @default.