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1 Ergebnisse
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Machine Learning Approaches to Predict Chronic Lower Back P..:
Jae-Geum Shim
;
Kyoung-Ho Ryu
;
Eun-Ah Cho
...
https://dx.doi.org/10.3390/medicina57111230. , 2021
Link:
https://doi.org/10.3390/medicina57111230
RT Journal T1
Machine Learning Approaches to Predict Chronic Lower Back Pain in People Aged over 50 Years
UL https://suche.suub.uni-bremen.de/peid=base-ftmdpi:oai:mdpi.com:_1648-9144_57_11_1230_&Exemplar=1&LAN=DE A1 Jae-Geum Shim A1 Kyoung-Ho Ryu A1 Eun-Ah Cho A1 Jin Hee Ahn A1 Hong Kyoon Kim A1 Yoon-Ju Lee A1 Sung Hyun Lee PB Multidisciplinary Digital Publishing Institute YR 2021 K1 chronic lower back pain K1 machine learning K1 artificial neural network K1 logistic regression k-nearest neighbors K1 naïve Bayes K1 decision tree K1 random forest K1 gradient boosting machine K1 support vector machine K1 prediction JF https://dx.doi.org/10.3390/medicina57111230 LK http://dx.doi.org/https://doi.org/10.3390/medicina57111230 DO https://doi.org/10.3390/medicina57111230 SF ELIB - SuUB Bremen
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