ArticleScience advances2018
Optimal information networks: Application for data-driven integrated health in populations.
Article in Science advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed.
- Analysis of health literacy and health outcomes among farmers in border areas: an exploration based on a cross-sectional survey and structural equation modeling in South China.Frontiers in public health · 2026Article
- Baselining Urban Ecosystems from Sentinel Species: Fitness, Flows, and Sinks.Entropy (Basel, Switzerland) · 2025Article
- The Entropy of Entropy: Are We Talking about the Same Thing?Entropy (Basel, Switzerland) · 2023Review
- Host-mediated gene engineering and microbiome-based technology optimization for sustainable agriculture and environment.Functional & integrative genomics · 2023Review
- Characterizing outbreak vulnerability in a stochasticJournal of the Royal Society, Interface · 2022Article
- Modes of information flow in collective cohesion.Science advances · 2022Article
- Inferring ecosystem networks as information flows.Scientific reports · 2021Article
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- Article
- Identification of the Framingham Risk Score by an Entropy-Based Rule Model for Cardiovascular Disease.Entropy (Basel, Switzerland) · 2020Article
- Information Transfer between Stock Market Sectors: A Comparison between the USA and China.Entropy (Basel, Switzerland) · 2020Article
- Emerging Priorities for Microbiome Research.Frontiers in microbiology · 2020Review
- Assessment of Area-Level Disease Control and Surveillance Vulnerabilities: An Application to Visceral Leishmaniasis in Brazil.The American journal of tropical medicine and hygiene · 2019Article
- Optimal Microbiome Networks: Macroecology and Criticality.Entropy (Basel, Switzerland) · 2019Article
- Demographic Inequities in Health Outcomes and Air Pollution Exposure in the Atlanta Area and its Relationship to Urban Infrastructure.Journal of urban health : bulletin of the New York Academy of Medicine · 2019Article
- Examining the Impacts of Urban Form on Air Pollution in Developing Countries: A Case Study of China's Megacities.International journal of environmental research and public health · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Development of composite indicators for integrated health in populations typically relies on a priori assumptions rather than model-free, data-driven evidence. Traditional variable selection processes tend not to consider relatedness and redundancy among variables, instead considering only individual correlations. In addition, a unified method for assessing integrated health statuses of populations is lacking, making systematic comparison among populations impossible. We propose the use of maximum entropy networks (MENets) that use transfer entropy to assess interrelatedness among selected variables considered for inclusion in a composite indicator. We also define optimal information networks (OINs) that are scale-invariant MENets, which use the information in constructed networks for optimal decision-making. Health outcome data from multiple cities in the United States are applied to this method to create a systemic health indicator, representing integrated health in a city.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.