NDLI: The early warning signal of complex diseases based on the network transition entropy

Content Provider	IEEE Xplore Digital Library
Author	Rui Liu Luonan Chen Aihara, K.
Copyright Year	2011
Description	Author affiliation: Collaborative Research Center for Innovative Mathematical Modelling, Institute of Industrial Science, University of Tokyo, 153-8505, Japan (Rui Liu; Luonan Chen; Aihara, K.)
Abstract	Many evidences suggested that during the progression of complex diseases, the deteriorations are generally not smooth but abrupt, which may cause a critical transition from one state to another at a tipping point, corresponding to a bifurcation of the dynamical system for the underlying organism. A pre-disease state is assumed to exist before reaching the tipping point between a normal state and a disease state. Since the predisease state is defined as a limit of the normal state, which represents an early-warning signal of the disease, it is crucial to identify such a state so that remedial actions can be executed to avoid the abrupt transition to the disease state. Although most complex diseases are model free, and usually only small samples are available due to clinical limitations, we propose that an index called the network transition entropy (NTE) may serving as an early-warning indicator for predicting the critical transition. Although the theoretical deviation is based on the dynamical network biomarker (DNB), the application of NTE is DNB free.
Starting Page	362
Ending Page	367
File Size	1058772
Page Count	6
File Format	PDF
ISBN	9781457716614
e-ISBN	9781457716669
e-ISBN	9781457716652
DOI	10.1109/ISB.2011.6033179
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Proteins Correlation Conferences Systems biology Entropy Indexes Diseases
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Research on Accident Early Warning Model Based on Entropy Weight and Extension Theory

The Research on the Financial Early Warning System Based on Cash Flow

The study of Kunming's financial risk early warning based on the perspective of financial ecological environment

Study on agent-based early warning modeling for SC enterprise into SDN

Identification of Early Warning Signals at the Critical Transition Point of Colorectal Cancer Based on Dynamic Network Analysis

Weighting Approach in Zigbee Network Performance Index Based on Correlation

Survey on Early Warning of TBT Based on Information Technology

Study on economic early warning system based on Web GIS and prosperity index

Application of the Gray Correlation Model Based on Entropy in Evaluating Competitiveness of Chinese Medicine Industry

The early warning signal of complex diseases based on the network transition entropy

Similar Documents

Research on Accident Early Warning Model Based on Entropy Weight and Extension Theory

The Research on the Financial Early Warning System Based on Cash Flow

The study of Kunming's financial risk early warning based on the perspective of financial ecological environment

Study on agent-based early warning modeling for SC enterprise into SDN

Identification of Early Warning Signals at the Critical Transition Point of Colorectal Cancer Based on Dynamic Network Analysis

Weighting Approach in Zigbee Network Performance Index Based on Correlation

Survey on Early Warning of TBT Based on Information Technology

Study on economic early warning system based on Web GIS and prosperity index

Application of the Gray Correlation Model Based on Entropy in Evaluating Competitiveness of Chinese Medicine Industry

The early warning signal of complex diseases based on the network transition entropy