Table 8.
List of XAI studies performing explanation quality assessment
References | # Cit. | Application | Input Data | AI model(s) | XAI method(s) | Dataset(s) |
---|---|---|---|---|---|---|
Cheng et al. (2021) | 6 | Surgical complication risk prediction | EHR | Not found | SHAP | PIC Zeng et al. (2020) |
Kumarakulasinghe et al. (2020) | 13 | Sepsis detection | EHR | RF | LIME | PhysioNet 2019 Reyna et al. (2019) |
Barda et al. (2020) | 24 | Mortality risk prediction | EHR | RF | SHAP | Retrospective study |
Penafiel et al. (2020) | 4 | Stroke prediction | EHR | DS-GD | DS rules, LIME | Retrospective study |
Hatwell et al. (2020) | 18 | CAD | EHR | Ada-WHIPS | Ada-WHIPS rules, Anchors, LORE | 9 CAD datasets from UCI ML repository |
Zhang et al. (2021) | 8 | Signal quality assessment | PPG | CNN | SHAP, integrated gradients, guided saliency | Training: ICU dataset Drew et al. (2014); Test: stroke dataset Pereira et al. (2019) |
Wickstrøm et al. (2020) | 9 | AMI detection, SSI detection | Echo, CRP measures | FCN | CAM | ECG200 dataset Dau et al. (2019), SSI dataset Mikalsen et al. (2016) |
Slijepcevic et al. (2021) | 5 | Gait disorder detection | 3-D GRF | CNN, SVM, MLP | LRP | GaitRec dataset Horsak et al. (2020) |
Hsieh et al. (2016) | 24 | Seizure detection, fist movement detection | EEG | CNN | Attention | Seizure dataset Schalk et al. (2004), Physionet DB |