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Unsupervised learning of disease subtypes from continuous time Hidden Markov Models of disease progression
(Georgia Institute of Technology, 2015-08-21)
The detection of subtypes of complex diseases has important implications for diagnosis and treatment. Numerous prior studies have used data-driven approaches to identify clusters of similar patients, but it is not yet clear ...
Optimizing resource allocation in computational sustainability: Models, algorithms and tools
(Georgia Institute of Technology, 2021-01-21)
The 17 Sustainable Development Goals laid out by the United Nations include numerous targets as well as indicators of progress towards sustainable development. Decision-makers tasked with meeting these targets must frequently ...