Learning Representations for Limited and Heterogeneous Medical Data
Data insufficiency and heterogeneity are challenges of representation learning for machine learning in medicine due to the diversity of medical data and the expense of data collection and annotation. To learn generalizable representations from such limited and heterogeneous medical data, we aim to u...
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/144745 https://orcid.org/0000-0003-2232-0390 |