Table 4 Fall-risk assessment model type, validation method, accuracy, specificity, and sensitivity
From: Review of fall risk assessment in geriatric populations using inertial sensors
Author | Model | Model validation | Accuracy (%) | Specificity (%) | Sensitivity (%) |
|---|---|---|---|---|---|
Caby et al., 2011* [41] | Radial basis function neural network, support vector, k-nearest neighbour, and naive Bayesian classifiers | Leave-one-out cross-validation | 75-100 | 40-100 | 93-100 |
Giansanti et al., 2008*†[48] | Multi-layer perceptron neural network | 47:53 split (Train:Test) | 97 | 97 | 98 |
Giansanti et al., 2006*†[46] | Mahalanobis cluster analysis | 47:53 split (Train:Test) | 93.5-94.5 | 93-94 | 93.9-94.9 |
Giansanti et al., 2008*†[47] | Multi-layer perceptron neural network | 47:53 split (Train:Test) | 88-91 | 88-92 | 88-91 |
Gietzelt et al., 2009* [49] | Decision tree | Not specified | 90.5 | 91.0 | 89.4 |
Ganea et al., 2011* [45] | Logistic regression, ROC curve | Not specified | - | 35-88 | 55-92 |
Weiss et al., 2011†[74] | Logistic regression | Not specified | 63.4-87.8 | 50.0-83.3 | 65.2-91.3 |
Liu et al., 2011* [57] | Linear regression, linear discriminant classifier | Leave-one-out cross-validation | 71 | 98.3 | 88.9 |
Marschollek et al., 2011‡ [61] | Logistic regression, decision tree | Stratified ten-times ten-fold cross validation | 78-80 | 82-96 | 58-74 |
Marschollek et al., 2008* [59] | Logistic regression, classifier | Stratified ten-times ten-fold cross validation | 65.5-89.1 | 15.4-60.4 | 78.5-99.0 |
Marschollek et al., 2009†[60] | Decision tree | Not possible due to limited sample size | 90 | 100 | 57.7 |
Schwesig et al., 2012‡ [71] | Binary logistic regression, ROC curve | Not specified | - | 42-61 | 63-100 |
Moe-Nilssen et al., 2005†[65] | Linear regression, ROC curve | Not specified | 80 | 85 | 75 |
Bautmans et al., 2011†[40] | Logistic regression, ROC curve | Not specified | 77 | 78 | 78 |
Greene et al., 2010†[50] | Logistic regression | 80:20 split (Train:Test) | 76.8 | 75.9 | 77.3 |
Doi et al., 2013‡ [44] | Logistic regression, ROC curve | Not specified | - | 84.2 | 68.8 |
Marschollek et al., 2011‡ [62] | Logistic regression, classifier | Stratified ten-times ten-fold cross validation | 70 | 78 | 58 |
Greene et al., 2012†[51] | Support vector machine | Ten-fold cross validation | 71.5 | 68.4 | 65.4 |
Kojima et al., 2008†[53] | Regression, canonical discriminant classifier | Not specified | 62.1 | 68.2 | 61.1 |
Senden et al., 2012* [72] | Linear regression, ROC curve | Not specified | AUC: 0.67-0.85 | - | - |