A Machine-Learning Approach to Measure the Anterior Cruciate Ligament Injury Risk in Female Basketball Players.
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| Title: | A Machine-Learning Approach to Measure the Anterior Cruciate Ligament Injury Risk in Female Basketball Players. |
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| Authors: | Taborri J; Department of Economics, Engineering, Society and Business Organization (DEIM), University of Tuscia, 01100 Viterbo, Italy., Molinaro L; Department of Economics, Engineering, Society and Business Organization (DEIM), University of Tuscia, 01100 Viterbo, Italy.; Motustech-Sport & Health Technology c/o Marilab, Ostia Lido, 00012 Rome, Italy., Santospagnuolo A; Physical Medicine and Rehabilitation Unit, Sant'Andrea Hospital, 'Sapienza' University of Rome, 00189 Rome, Italy., Vetrano M; Physical Medicine and Rehabilitation Unit, Sant'Andrea Hospital, 'Sapienza' University of Rome, 00189 Rome, Italy., Vulpiani MC; Physical Medicine and Rehabilitation Unit, Sant'Andrea Hospital, 'Sapienza' University of Rome, 00189 Rome, Italy.; Sports Medicine Institute CONI Rome, 00197 Rome, Italy., Rossi S; Department of Economics, Engineering, Society and Business Organization (DEIM), University of Tuscia, 01100 Viterbo, Italy. |
| Source: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Apr 30; Vol. 21 (9). Date of Electronic Publication: 2021 Apr 30. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1424-8220 |
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| DOI: | 10.3390/s21093141 |
