12 citations · 15 across the 8 of their papers we have counts for
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cs.LG2023
A New Deep State-Space Analysis Framework for Patient Latent State Estimation and Classification from EHR Time Series Data
Aya Nakamura, Ryosuke Kojima, Yuji Okamoto +7
Many diseases, including cancer and chronic conditions, require extended treatment periods and long-term strategies. Machine learning and AI research focusing on electronic health…
q-bio.QM2023
An end-to-end framework for gene expression classification by integrating a background knowledge graph: application to cancer prognosis prediction
Kazuma Inoue, Ryosuke Kojima, Mayumi Kamada +1
Biological data may be separated into primary data, such as gene expression, and secondary data, such as pathways and protein-protein interactions. Methods using secondary data to…