Table 1.
Accuracy comparison of genomic processing models along with their suggested disease type.
| Sr. No. | Disease Type | Disease Sub-Type | Model | Accuracy (%) | References |
|---|---|---|---|---|---|
| 1 | Neurological disorders | Alzheimer's Disease (AD) | DgSeq | 80 | [5] |
| - | SVC | 82.4 | [10] | ||
| - | Ensemble | 85.4 | [12] | ||
| - | LRMS | 91.4 | [38] | ||
| - | Linear SVM | 93.8 | [69] | ||
| - | NB | 98.1 | [71] | ||
| - | SWAT-CNN | 75 | [75] | ||
| Parkinson | PDG-Net | 91.8 | [7] | ||
| - | SST-RF | 85.9 | [57] | ||
| Huntington’s disease | GAN | 96.4 | [28] | ||
| Bipolar | DST | 95.7 | [47] | ||
| 2 | Cancer | Ovarian | DNA | 93.5 | [1] |
| Head, neck & kidney cell | DiaBLE | 91.4 | [20] | ||
| Colorectal cancer | LMER | 96.5 | [29] | ||
| Multiple cancer types | CEN | 91 | [46] | ||
| - | SIN | 90.9 | [50] | ||
| Breast | DgSeq | 88 | [5] | ||
| - | GGM | 90.8 | [32] | ||
| - | RSR | 70.8 | [61] | ||
| Cancer tumor and its variants | SVM-OHC | 85.5 | [70] | ||
| Leukemia | PreEGS RF | 90.2 | [17] | ||
| - | Netboost (PCA-SHC) | 90.5 | [31] | ||
| 3 | Viruses | Covid-19 | NBA | 90.9 | [35] |
| - | CNN-Bi-LSTM | 99.9 | [49] | ||
| - | XGBoost | 96.5 | [51] | ||
| - | NL | 91.5 | [72] | ||
| - | LPC-SVM | 98 | [78] | ||
| Multiple virus types | VGDC CNN | 93.5 | [44] | ||
| Dengue | ANN | 86 | [58] | ||
| Beak and feather | BFDV | 90.2 | [67] | ||
| 4 | Relationship of multiple diseases | Diabetes, CAD | GC | 91.4 | [2] |
| Brain, lung, asthma | RAA | 83.5 | [8] | ||
| Thalassemia, diabetes, malaria, asthma | DELM | 90 | [14] | ||
| Diabetes, bone, joint | dbGaP ensemble | 86.5 | [15] | ||
| 5 | Other diseases | Diabetes | PRBN | 85.5 | [9] |
| - | ResNet, SVM | 99.09 | [76] | ||
| Lung diseases | MHRWR | 91.3 | [11] | ||
| Vitiligo | PPIN | 75.4 | [13] | ||
| Asthma | EMODMI | 86.02 | [37] | ||
| Complex disease | CIMM SVM | 96 | [41] | ||
| Pre-term birth classification | DLLR | 98.2 | [45] | ||
| Diagnosis of disease | CMA | 83.5 | [59] | ||
| Rare disease | NGS | 84.2 | [60] | ||
| Hypertension disorder | SVM, 5-NN, NB | 93.2 | [68] | ||
| Heart disease | HEVM | 90 | [74] | ||
| 6 | Genome-wide association studies | Disease gene prediction | HDGN | 86 | [3] |
| - | PCD-MVMF | 89.4 | [36] | ||
| - | AGDPM | 89.8 | [39] | ||
| - | ML-HES | 99.5 | [56] | ||
| - | SNP | 90.5 | [73] | ||
| Disease-disease relation | HPDN | 88.5 | [4] | ||
| - | ModuleSim | 89.4 | [6] | ||
| - | Radar | 79.4 | [16] | ||
| - | PR-RWRH | 82.2 | [30] | ||
| - | NBS | 90.4 | [40] | ||
| Gene-Network analysis | DM | 90.63 | [18] | ||
| - | NIHO | 93.4 | [19] | ||
| - | HPIN TE | 82 | [42] | ||
| RNA-gene network analysis | miRTMC | 89.4 | [34] |