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Artificial Intelligence in Health ISM: A new multi-view space-learning model
A
B
Figure 1. Comparison between integrated sources model (A) and other latent space approaches (B). Note: The image was created using elements provided
by Servier Medical Art (https://smart.servier.com/citation-sharing/).
Abbreviations: NMF: Non-negative matrix factorization; NTF: Non-negative tensor factorization.
2.2.3. Detailed workflows workflow contains the detailed analysis steps for each
example.
In this section, we present three workflows. The first
workflow consists of training the ISM model to generate a (a) Workflow 1: Latent space representation and view-
latent space representation and view-mapping. The second mapping
workflow enables the projection of new observations The training of the ISM model can be divided into
obtained in multiple views into the latent space. The third five units, as described in Figure 2. The first four process
Volume 1 Issue 3 (2024) 93 doi: 10.36922/aih.3427
