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Table 4 Analysis of the interpretability based on Kohoutová et al. [23]

From: Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer’s disease dementia: a systematic review

Author (year)

Model

Feature

Biology

SEN/SPE

GN

AC

ST

IMP

VIS

LIT

Plant et al. (2010) [24]

-

-

Chincarini et al. (2011) [25]

-

-

Costafreda et al. (2011) [26]

-

Filipovych et al. (2011) [27]

-

-

Hinrichs et al. (2011) [8]

-

-

Westman et al. (2011) [28]

-

-

Wolz et al. (2011) [29]

-

-

Zhang et al. (2011) [30]

-

-

-

Batmanghelich et al. (2012) [31]

-

-

-

Cheng et al. (2012) [32]

-

-

-

-

Cho et al. (2012) [33]

-

-

Gray et al. (2012) [34]

-

Li et al. (2012) [35]

-

-

Toussaint et al. (2012) [36]

-

Wee et al. (2012) [37]

-

Ye et al. (2012) [38]

-

-

-

Zhang et al. (2012) [9]

-

-

Adaszewski et al. (2013) [39]

-

-

Aguilar et al. (2013) [40]

-

-

-

Babu et al. (2013) [41]

-

-

-

Casanova et al. (2013) [42]

-

-

-

Cheng et al. (2013) [43]

-

-

-

-

Liu, M. et al. (2013) [44]

-

-

-

-

Liu, X. et al. (2013) [45]

-

-

Wee et al. (2013) [46]

-

-

-

Young et al. (2013) [47]

-

-

-

-

-

Apostolova et al. (2014) [48]

-

-

Guerrero et al. (2014) [49]

-

-

Lebedev et al. (2014) [50]

-

Liu, M. et al. (2014) [51]

-

-

Liu, F. et al. (2014) [52]

-

-

-

-

-

Min et al. (2014) [53]

-

-

-

-

Suk et al. (2014) [54]

-

-

Tong et al. (2014) [55]

-

Cabral et al. (2015) [56]

-

-

Cheng et al. (2015) [57]

-

-

-

-

Cheng et al. (2015) [58]

-

Moradi et al. (2015) [59]

-

-

-

Raamana et al. (2015) [60]

-

-

Ritter et al. (2015) [61]

-

-

-

Salvatore et al. (2015) [62]

-

-

Xu et al. (2015) [63]

-

-

-

Ardekani et al. (2016) [64]

-

-

Collij et al. (2016) [66]

-

Li et al. (2016) [67]

-

Liu et al. (2016) [68]

-

-

-

López et al. (2016) [69]

-

-

-

Suk et al. (2016) [70]

-

Thung et al. (2016) [71]

-

-

Vasta et al. (2016) [72]

-

-

Zhang et al. (2016) [73]

-

-

-

Zhang et al. (2016) [74]

-

-

-

Ҫitak-Er et al. (2017) [75]

-

-

Hojjati et al. (2017) [76]

-

Long et al. (2017) [77]

-

-

-

Mathotaarachchi et al. (2017) [78]

-

Suk et al. (2017) [79]

-

Tong et al. (2017) [80]

-

-

Choi et al. (2018) [81]

-

-

Donnelly-Kehoe et al. (2018) [82]

-

-

Gao et al. (2018) [83]

-

-

-

Gómez-Sancho et al. (2018) [84]

-

-

-

Hojjati et al. (2018) [85]

-

-

Khanna et al. (2018) [86]

-

-

-

Lin et al. (2018) [87]

-

-

Liu et al. (2018) [88]

-

-

Liu et al. (2018) [89]

-

-

-

Lu et al. (2018) [90]

-

-

-

-

Minhas et al. (2018) [91]

-

-

-

-

Popuri et al. (2018) [92]

-

-

Sorensen et al. (2018) [93]

-

-

-

-

Sun et al. (2018) [94]

-

Wu et al. (2018) [95]

-

-

-

Yan et al. (2018) [96]

-

-

-

-

Basaia et al. (2019) [97]

-

-

-

Cheng et al. (2019) [98]

-

-

Collazos-Huertas et al. (2019) [99]

-

-

Elahifasaee et al. (2019) [100]

-

Ezzati et al. (2019) [101]

-

-

-

Gupta et al. (2019) [102]

-

-

-

Lee et al. (2019) [103]

-

-

Lee et al. (2019) [104]

-

-

Lei et al. (2019) [105]

-

-

Li et al. (2019) [106]

Li et al. (2019) [107]

-

-

-

Oh et al. (2019) [108]

-

Pan et al. (2019) [109]

-

-

-

-

Pusil et al. (2019) [110]

-

-

-

Spasov et al. (2019) [111]

-

-

-

Wang et al. (2019) [112]

-

-

-

Wee et al. (2019) [113]

-

Xu et al. (2019) [114]

-

Zhou et al. (2019) [115]

-

Zhu et al. (2019) [116]

-

Abrol et al. (2020) [117]

-

Gao et al. (2020) [118]

-

-

-

-

Giorgio et al. (2020) [119]

-

-

-

Khatri et al. (2020) [120]

-

Lin et al. (2020) [121]

-

-

-

Lin et al. (2020) [122]

-

Pan et al. (2020) [123]

-

-

-

-

Ramon-Julvez et al. (2020) [124]

-

-

-

-

Xiao et al. (2020) [125]

-

-

-

-

Xu et al. (2020) [126]

-

-

Yang et al. (2020) [127]

-

-

-

Yee et al. (2020) [128]

-

Zhou et al. (2020) [129]

-

Bae et al. (2021) [130]

-

-

Mofrad et al. (2021) [131]

-

-

Mofrad et al. (2021) [132]

-

-

Pan et al. (2021) [133]

-

Shen et al. (2021) [134]

-

-

Syaifullah et al. (2021) [135]

-

Wen et al. (2021) [136]

-

-

Zhang et al. (2021) [137]

-

-

Zhu et al. (2021) [138]

-

Total (116)

113

3

60

116

91

51

112

  1. Note. This table shows an interpretability analysis performed for each study selected in our review following the framework proposed by Kohoutová et al. [23]. Presence () or absence (-) of the different sublevels assessments. Behavioral analysis, representational analysis, and invasive studies sub-levels are not applicable to this type of study by its definition. SEN Sensitivity, SPE Specificity, GN Generalizability, AC Analysis of confounds, ST Stability, IMP Importance, VIS Visualization, LIT Literature