Reconstructing Disease Histories in Huge Discrete State Spaces

URN to cite this document:: urn:nbn:de:bvb:355-epub-553351
DOI to cite this document:: 10.5283/epub.55335

Schill, Rudolf

; Klever, Maren ; Rupp, Kevin ; Hu, Y. Linda

; Lösch, Andreas ; Georg, Peter ; Pfahler, Simon ; Vocht, Stefan ; Hansch, Stefan ; Wettig, Tilo

; Grasedyck, Lars ; Spang, Rainer

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 16 Jan 2024 05:25

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Abstract

Many progressive diseases develop unnoticed and insidiously at the beginning. This leads to an observational gap, since the first data on the disease can only be obtained after diagnosis. Mutual Hazard Networks address this gap by reconstructing latent disease dynamics. They model the disease as a Markov chain on the space of all possible combinations of progression events. This space can be ...