Characterizing fall risk factors in Belgian older adults through machine learning: a data-driven approach.
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| Title: | Characterizing fall risk factors in Belgian older adults through machine learning: a data-driven approach. |
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| Authors: | Lathouwers E; Human Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, 1050, Brussels, Belgium.; Brussels Human Robotic Research Center (BruBotics), Vrije Universiteit Brussel, 1050, Brussels, Belgium., Dillen A; Human Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, 1050, Brussels, Belgium.; Brussels Human Robotic Research Center (BruBotics), Vrije Universiteit Brussel, 1050, Brussels, Belgium., Díaz MA; Human Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, 1050, Brussels, Belgium.; Brussels Human Robotic Research Center (BruBotics), Vrije Universiteit Brussel, 1050, Brussels, Belgium., Tassignon B; Human Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, 1050, Brussels, Belgium., Verschueren J; Human Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, 1050, Brussels, Belgium., Verté D; Brussels Human Robotic Research Center (BruBotics), Vrije Universiteit Brussel, 1050, Brussels, Belgium.; Faculty of Psychology and Educational Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium., De Witte N; Brussels Human Robotic Research Center (BruBotics), Vrije Universiteit Brussel, 1050, Brussels, Belgium.; Faculty of Psychology and Educational Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium.; Gerontology and Frailty in Ageing (FRIA) research department, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium., De Pauw K; Human Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, 1050, Brussels, Belgium. kevin.de.pauw@vub.be.; Brussels Human Robotic Research Center (BruBotics), Vrije Universiteit Brussel, 1050, Brussels, Belgium. kevin.de.pauw@vub.be. |
| Source: | BMC public health [BMC Public Health] 2022 Nov 29; Vol. 22 (1), pp. 2210. Date of Electronic Publication: 2022 Nov 29. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100968562 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2458 (Electronic) Linking ISSN: 14712458 NLM ISO Abbreviation: BMC Public Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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