Article
Data-driven identification of complex disease phenotypes.
Journal of the Royal Society, Interface - 1 Jul 2021
Strauss Markus J, Niederkrotenthaler Thomas, Thurner Stefan, Kautzky-Willer Alexandra, Klimek Peter
Abstract excerpt
Disease interaction in multimorbid patients is relevant to treatment and prognosis, yet poorly understood. In the present work, we combine approaches from network science, machine learning and computational phenotyping to assess interactions between two or more diseases in a transparent way across the full diagnostic spectrum. We demonstrate that health states of hospitalized patients can be better characterized...
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