Table 4 Comparative analysis with related work on disease prediction using omics data
From: Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis
References | Study target | Outcome |
|---|---|---|
This study | COVID-19 severity prediction | Accuracy = 0.98 |
Sammut et al. [21] | Breast cancer therapy response prediction | Accuracy = 0.86 |
MacÃas et al. [15] | Breast cancer recurrence prediction | Accuracy = 0.68 |
Park et al. [16] | Alzheimer prediction | Accuracy = 0.82 |
This study | COVID-19 severity prediction | c-index = 0.75 |
Lee et al. [22] | Lung adenocarcinoma prognosis | c-index = 0.65 |
Zhang et al. [23] | Neuroblastoma prognosis | c-index = 0.71 |
Chaudhary et al. [24] | Liver cancer prognosis | c-index = 0.68 |