Table 2.
Overview of statistical and machine learning techniques for COVID-19 using multimodal data.
Type of data | Technological characteristics | References |
---|---|---|
CT images, clinical measurements, laboratory tests | Traditional statistical methods, correlation analysis | Xiong et al. [56], Qin et al. [57], Sun et al. [58], Dane et al. [59] |
Physiology measurements and physical activities | Random forest model for early detection of COVID-19 infection | Mason et al. [60] |
demographics, medications, laboratory tests, CPT and ICD codes | Fusion machine learning model to predict severity of COVID-19 | Tariq et al. [61] |
CT images and clinical features | Integrative deep learning model for prediction of COVID-19 morbidity and mortality | Ning et al. [51] |