Graph Neural Networks for Parkinson’s Disease Monitoring and Alerting

Zafeiropoulos, Nikolaos; Bitilis, Pavlos; Tsekouras, George E.; Kotis, Konstantinos

doi:10.3390/s23218936

Cited by 3 publications

(2 citation statements)

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“…The primary objective is to elevate the assessment of PD patients by establishing a robust foundation for personalized health insights through the development of Personal Health Knowledge Graphs (PHKGs) [1][2][3]. Additionally, a personal health Graph Neural Network (PHGNN) is developed leveraging the PHKG to formalize the representation of related sensors and PHR integrated/unified data at a higher level of abstraction [4]. This paper, as an extension of our previous related work [5], provides a detailed exploration of the Wear4PDmove ontology and evaluates its integration within the development of an experimental PHKG [5].…”

Section: Introductionmentioning

confidence: 99%

Evaluating Ontology-Based PD Monitoring and Alerting in Personal Health Knowledge Graphs and Graph Neural Networks

Zafeiropoulos,

Bitilis,

Tsekouras

et al. 2024

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In the realm of Parkinson’s Disease (PD) research, the integration of wearable sensor data with personal health records (PHR) has emerged as a pivotal avenue for patient alerting and monitoring. This study delves into the complex domain of PD patient care, with a specific emphasis on harnessing the potential of wearable sensors to capture, represent and semantically analyze crucial movement data and knowledge. The primary objective is to enhance the assessment of PD patients by establishing a robust foundation for personalized health insights through the development of Personal Health Knowledge Graphs (PHKGs) and the employment of personal health Graph Neural Networks (PHGNNs) that utilize PHKGs. The objective is to formalize the representation of related integrated data, unified sensor and PHR data in higher levels of abstraction, i.e., in a PHKG, to facilitate interoperability and support rule-based high-level event recognition such as patient’s missing dose or falling. This paper, extending our previous related work, presents the Wear4PDmove ontology in detail and evaluates the ontology within the development of an experimental PHKG. Furthermore, this paper focuses on the integration and evaluation of PHKG within the implementation of a Graph Neural Network (GNN). This work emphasizes the importance of integrating PD-related data for monitoring and alerting patients with appropriate notifications. These notifications offer health experts precise and timely information for the continuous evaluation of personal health-related events, ultimately contributing to enhanced patient care and well-informed medical decision-making. Finally, the paper concludes by proposing a novel approach for integrating personal health KGs and GNNs for PD monitoring and alerting solutions.

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Section: Introductionmentioning

confidence: 99%

Evaluating Ontology-Based PD Monitoring and Alerting in Personal Health Knowledge Graphs and Graph Neural Networks

Zafeiropoulos,

Bitilis,

Tsekouras

et al. 2024

Information

Self Cite

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“…In addition, findings show that men are more prone to the disease compared to women ( 6 ). It is characterized by a range of symptoms including tremors, rigidity, and dyskinesia ( 8 ). However, available experiments have confirmed that the effects of PD on patients are no longer limited to these aspects; it also diminishes the sense of smell and leads to depression, immune dysfunction, and even hallucinations ( 6 , 9 ).…”

Section: Introductionmentioning

confidence: 99%

Spotlight on pro-inflammatory chemokines: regulators of cellular communication in cognitive impairment

Wang,

Zhu

et al. 2024

Front. Immunol.

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Cognitive impairment is a decline in people’s ability to think, learn, and remember, and so forth. Cognitive impairment is a global health challenge that affects the quality of life of thousands of people. The condition covers a wide range from mild cognitive impairment to severe dementia, which includes Alzheimer’s disease (AD) and Parkinson’s disease (PD), among others. While the etiology of cognitive impairment is diverse, the role of chemokines is increasingly evident, especially in the presence of chronic inflammation and neuroinflammation. Although inflammatory chemokines have been linked to cognitive impairment, cognitive impairment is usually multifactorial. Researchers are exploring the role of chemokines and other inflammatory mediators in cognitive dysfunction and trying to develop therapeutic strategies to mitigate their effects. The pathogenesis of cognitive disorders is very complex, their underlying causative mechanisms have not been clarified, and their treatment is always one of the challenges in the field of medicine. Therefore, exploring its pathogenesis and treatment has important socioeconomic value. Chemokines are a growing family of structurally and functionally related small (8–10 kDa) proteins, and there is growing evidence that pro-inflammatory chemokines are associated with many neurobiological processes that may be relevant to neurological disorders beyond their classical chemotactic function and play a crucial role in the pathogenesis and progression of cognitive disorders. In this paper, we review the roles and regulatory mechanisms of pro-inflammatory chemokines (CCL2, CCL3, CCL4, CCL5, CCL11, CCL20, and CXCL8) in cognitive impairment. We also discuss the intrinsic relationship between the two, hoping to provide some valuable references for the treatment of cognitive impairment.

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Enhancement of traffic forecasting through graph neural network-based information fusion techniques

Ahmed,

Kuldeep,

Rafa

et al. 2024

Information Fusion

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Graph Neural Networks for Parkinson’s Disease Monitoring and Alerting

Cited by 3 publications

References 59 publications

Evaluating Ontology-Based PD Monitoring and Alerting in Personal Health Knowledge Graphs and Graph Neural Networks

Evaluating Ontology-Based PD Monitoring and Alerting in Personal Health Knowledge Graphs and Graph Neural Networks

Spotlight on pro-inflammatory chemokines: regulators of cellular communication in cognitive impairment

Enhancement of traffic forecasting through graph neural network-based information fusion techniques

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