Most researcher used a combination of two modalities. Yiwen et al. created a Bidirectional Representation Learning model using EHR and text data to predict depression. Jordan et al. used medical imaging and EHRs to classify skin lesions. Larry et al. used EHR and time series (ECG) data to monitor patient, maintaining the temporal relationship by assembling ECG data into tensors. Jae et al. used imaging (MRI) and genomic data (polygenic risk scores) for ADHD diagnosis. Some researchers used three modalities. Janani et al. used imaging, EHR and genomic data for early detection of Alzheimer's disease. Zeng et al. used imaging, EHR and text data to analyze individuals infected with COVID-19.