Health Prediction Using Network Reconstruction Based Model

Complex networks have become indispensable tools for probing complex relationships and interactions across diverse systems. The paper presents an innovative predictive model that utilizes network reconstruction techniques to construct networks from accessible data-sets. The proposed model portrays d...

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Bibliographic Details
Published in2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) pp. 409 - 411
Main Authors Singhal, Ankur Kr, Manhas, Shriansh, Singh, Anurag
Format Conference Proceeding
LanguageEnglish
Published IEEE 03.01.2024
Subjects
Complex network
Complex networks
Computational modeling
Data models
Decision Parameter
Health data-set
Network Reconstruction
Parenclitic Network
Predictive models
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Summary:Complex networks have become indispensable tools for probing complex relationships and interactions across diverse systems. The paper presents an innovative predictive model that utilizes network reconstruction techniques to construct networks from accessible data-sets. The proposed model portrays data features as network nodes, with their interconnections illustrated as edges. Further, a novel methodology is introduced for computing the decision parameter ( a ) to forecast an individual's health status.
ISSN:2155-2509
DOI:10.1109/COMSNETS59351.2024.10427293