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- Blei DM, Ng AY and Jordan MI. Latent Dirichlet allocation. Journal of machine Learning research. 2003; 3: 993--1022. Google ScholarDigital Library
- Lin J. Divergence measures based on the Shannon entropy. IEEE Transactions on Information theory. 1991; 37(1):145--51. Google ScholarDigital Library
Index Terms
- Co-occurrence of Medical Conditions: Exposing Patterns Through Probabilistic Topic Modeling
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Co-occurrence of medical conditions: Exposing patterns through probabilistic topic modeling of snomed codes
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Highlights- Identify patterns of co-occurring medical conditions in kidney patients.
- Topic ...
AbstractPatients associated with multiple co-occurring health conditions often face aggravated complications and less favorable outcomes. Co-occurring conditions are especially prevalent among individuals suffering from kidney disease, an ...
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We are not able to deal with a mammoth text corpus without summarizing them into a relatively small subset. A computational tool is extremely needed to understand such a gigantic pool of text. Probabilistic Topic Modeling discovers and explains the ...
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