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Eine Ebene höherGruppiert nach: Dokumententyp |
Veröffentlichungsdatum
Anzahl der Publikationen: 5
2022
Liew, Bernard X. W.; Kovacs, Francisco M.; Rügamer, David und Royuela, Ana
(2022):
Machine learning versus logistic regression for prognostic modelling in individuals with non-specific neck pain.
In: European Spine Journal, Bd. 31, Nr. 8: S. 2082-2091
2020
Liew, Bernard X. W.; Rugamer, David; De Nunzio, Alessandro Marco und Falla, Deborah
(2020):
Interpretable machine learning models for classifying low back pain status using functional physiological variables.
In: European Spine Journal, Bd. 29, Nr. 8: S. 1845-1859
Liew, Bernard X. W.; Rugamer, David; Stocker, Almond und De Nunzio, Alessandro Marco
(2020):
Classifying neck pain status using scalar and functional biomechanical variables - development of a method using functional data boosting.
In: Gait & Posture, Bd. 76: S. 146-150
Liew, Bernard X. W.; Rugamer, David; Abichandani, Deepa und De Nunzio, Alessandro Marco
(2020):
Classifying individuals with and without patellofemoral pain syndrome using ground force profiles - Development of a method using functional data boosting.
In: Gait & Posture, Bd. 80: S. 90-95
Liew, Bernard X. W.; Peolsson, Anneli; Rugamer, David; Wibault, Johanna; Löfgren, Hakan; Dedering, Asa; Zsigmond, Peter und Falla, Deborah
(2020):
Clinical predictive modelling of post-surgical recovery in individuals with cervical radiculopathy: a machine learning approach.
In: Scientific Reports, Bd. 10, Nr. 1, 16782
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