Fig 1.
STROBE diagram of eligibility determination and participant group classification.
Fig 2.
AUC, area under the curve; SMOTE, synthetic minority oversampling technique.
Table 1.
Demographics and clinical characteristics of the non-faller and faller groups.
Table 2.
Physical and psychological health variables of the non-faller and faller groups.
Table 3.
Ranking of nine variables included in the machine learning-based model and validation results of the model using 2,000 validation data set pairs.