While the newborn’s brain is functionally organised early on—with similar resting state networks as those of adults present at birth—these…
Complex Systems in Healthcare
This collection focuses on the use of complex systems research in the healthcare context. The manuscripts cover a variety of topics from neuroscience and epidemiology, to health information management and model development. The collection highlights the breadth of healthcare related questions that can be addressed using a complex systems approach using a number of different types of datasets.
Image Credit: Technology by MJH Shikder, Pixabay
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PLOS Complex Systems Long-range temporal correlation development in resting-state fMRI signal in preterm infants: Scanned shortly after birth and at term-equivalent age
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PLOS Complex Systems Leveraging mathematical modeling framework to guide regimen strategy for phage therapy
Bacteriophage (phage) cocktail therapy has been relied upon more and more to treat antibiotic-resistant infections. Understanding of the…
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PLOS Complex Systems Determinants and facilitators of community coalition diffusion of prevention efforts
This study examines how individual characteristics and network features of coalition participation in an intervention predict coalition…
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PLOS Complex Systems System and transcript dynamics of cells infected with severe acute respiratory syndrome virus 2 (SARS-CoV-2)
Statistical laws arise in many complex systems and can be explored to gain insights into their structure and behavior. Here, we…
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PLOS ONE Brain MRI detection and classification: Harnessing convolutional neural networks and multi-level thresholding
Brain tumor detection in clinical applications is a complex and challenging task due to the intricate structures of the human brain.…
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PLOS ONE Brain-like illusion produced by Skye’s Oblique Grating in deep neural networks
The analogy between the brain and deep neural networks (DNNs) has sparked interest in neuroscience. Although DNNs have limitations, they…
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PLOS ONE The potential of the transformer-based survival analysis model, SurvTrace, for predicting recurrent cardiovascular events and stratifying high-risk patients with ischemic heart disease
Introduction: Ischemic heart disease is a leading cause of death worldwide, and its importance is increasing with the aging population. The…
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PLOS ONE Towards Digital Twin-Oriented Complex Networked Systems: Introducing heterogeneous node features and interaction rules
This study proposes an extendable modelling framework for Digital Twin-Oriented Complex Networked Systems (DT-CNSs) with a goal of…
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PLOS ONE An agent-based model of the spread of behavioural risk-factors for cardiovascular disease in city-scale populations
Cardiovascular disease (CVD) is the leading cause of mortality globally, and is the second main cause of mortality in the UK. Four key…
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PLOS ONE Multiclass classification of Autism Spectrum Disorder, attention deficit hyperactivity disorder, and typically developed individuals using fMRI functional connectivity analysis
Neurodevelopmental conditions, such as Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD), present unique…
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PLOS ONE Nonlinear modeling of oral glucose tolerance test response to evaluate associations with aging outcomes
As people age, their ability to maintain homeostasis in response to stressors diminishes. Physical frailty, a syndrome characterized by…
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PLOS ONE BACK-to-MOVE: Machine learning and computer vision model automating clinical classification of non-specific low back pain for personalised management
Background: Low back pain (LBP) is a major global disability contributor with profound health and socio-economic implications. The…
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PLOS ONE An agent-based nested model integrating within-host and between-host mechanisms to predict an epidemic
The COVID-19 pandemic has remarkably heightened concerns regarding the prediction of communicable disease spread. This study introduces an…
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PLOS ONE Design of health information management model for elderly care using an advanced higher-order hybrid clustering algorithm from the perspective of sports and medicine integration
In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data…
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PLOS ONE Prediction of hospital readmission of multimorbid patients using machine learning models
Objective: The objective of this study is twofold. First, we seek to understand the characteristics of the multimorbid population that…
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PLOS ONE Exploring the interplay between colorectal cancer subtypes genomic variants and cellular morphology: A deep-learning approach
Molecular subtypes of colorectal cancer (CRC) significantly influence treatment decisions. While convolutional neural networks (CNNs) have…
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PLOS ONE Clinical and socioeconomic predictors of hospital use and emergency department visits among children with medical complexity: A machine learning approach using administrative data
Objectives: The primary objective of this study was to identify clinical and socioeconomic predictors of hospital and ED use among children…
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PLOS ONE Hypergraph modeling of complex interactions: Applications from human musculoskeletal structures to complex system dynamics
The musculoskeletal network is a complex system of different types of nodes and edges interacting with each other. Although there is a…