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. 2023 Jul 5;9(7):e17934. doi: 10.1016/j.heliyon.2023.e17934

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]