Deep multi-view learning for healthcare domain
Vipin Kumar, Bharti Bharti, Pawan Kumar Chaurasia, Prem Shankar Singh Aydav · 2023
Multiple sourced data is commonly available with different measuring methods in this digital era. Usually, the dataset analysis is performed by combining multiple source data, which decreases the comprehensive overall information of the data. Now, it can be observed that multi-view of the data has distinct characteristics that describe the same data, and combining them all will devalue the individual interpretation of data. Therefore, it is evident that distinct view information may be utilized to enhance performance. Tremendous success has been achieved by the deep learning model in various domains such as stock photography, visual search, security industry, automobile industry, and the healthcare industry. Since the last decade, deep learning has successfully processed distinct data for many machine learning tasks such as audio, video, image, text, graph, etc. However, these datasets are also previewed like a multi-view of the data that includes different perspectives of the multiple source data to enhance the learning classifiers.