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Validation and Improvement of the Saga Fall Risk Model: A Multicenter Retrospective Observational Study.

Masaki TagoRisa HirataNaoko E KatsukiEiji NakataniMidori TokushimaTomoyo NishiHitomi ShimadaShizuka YaitaChihiro SaitoKaori AmariKazuya KurogiYoshimasa OdaKiyoshi ShikinoMaiko OnoMariko YoshimuraShun YamashitaYoshinori TokushimaHidetoshi AiharaMotoshi FujiwaraShu-Ichi Yamashita
Published in: Clinical interventions in aging (2024)
SFRM2 showed good accuracy in predicting falls even on validating in diverse populations with significantly different backgrounds. Furthermore, the accuracy can be improved by adjusting the coefficients while keeping the model's parameters fixed.
Keyphrases
  • cross sectional