Back to search

Article

Identifying Early-Warning Signals for the Sudden Transition from Mild to Severe Tobacco Rtch Disease by Dynamical Network Biomarkers

2019-11-27

Abstract excerpt

Complex systems exhibit critical thresholds at which they transition among alternative phases. Complex systems theory has been applied to analyze disease progression, distinguishing three stages along progression: (i) a normal non-infected state, (ii) a pre-disease state in which the host is infected and responds; therapeutic interventions could still be effective, (iii) an irreversible state, where the system is...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
f94d2a2b-d568-589e-85e6-7b9aa9ba9921
DOI
10.20944/preprints201911.0330.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Identifying Early-Warning Signals for the Sudden Transition from Mild to Severe Tobacco Rtch Disease by Dynamical Network BiomarkersDOI 10.20944/preprints201911.0330.v1
Select a neighboring publication to make it the new centre.