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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
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Alzheimer's Research & Therapy

ISSN: 1758-9193