Identifying Critical States of Complex Diseases by Single-Sample Jensen-Shannon Divergence.

ABSTRACT:

Motivation

The evolution of complex diseases can be modeled as a time-dependent nonlinear dynamic system, and its progression can be divided into three states, i.e., the normal state, the pre-disease state and the disease state. The sudden deterioration of the disease can be regarded as the state transition of the dynamic system at the critical state or pre-disease state. How to detect the critical state of an individual before the disease state based on single-sample data has attracted many researchers' attention.

Methods

In this study, we proposed a novel approach, i.e., single-sample-based Jensen-Shannon Divergence (sJSD) method to detect the early-warning signals of complex diseases before critical transitions based on individual single-sample data. The method aims to co

SUBMITTER: Yan J 

PROVIDER: S-EPMC8212786 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature