The evolving field of Big Data: understanding geographic information systems analysis and its transformative potential in ophthalmic research

Soares, Rebecca R.

doi:10.1097/icu.0000000000000839

Cited by 7 publications

(5 citation statements)

References 38 publications

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“…Real-world research is important for public health and epidemiologic investigations [17]. Our study was based on real-world vision screening records, which included students' age, sex, location, class, grade, school type, UDVA, NCR, systolic pressure, diastolic pressure, height, weight, and sexual maturity.…”

Section: Principal Findingsmentioning

confidence: 99%

Prevalence Patterns and Onset Prediction of High Myopia for Children and Adolescents in Southern China via Real-World Screening Data: Retrospective School-Based Study

Guan¹,

Zhu²,

Hu³

et al. 2023

J Med Internet Res

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Background Patients with high myopia have an increased lifetime risk of complications. The prevalence patterns of high myopia in children and adolescents in southern China are unclear. Early identification of high-risk individuals is critical for reducing the occurrence and development of high myopia and avoiding the resulting complications. Objective This study aimed to determine the prevalence of high myopia in children and adolescents in southern China via real-world screening data and to predict its onset by studying the risk factors for high myopia based on machine learning. Methods This retrospective school-based study was conducted in 13 cities with different gross domestic products in southern China. Through data acquisition and filtering, we analyzed the prevalence of high myopia and its association with age, school stage, gross domestic product, and risk factors. A random forest algorithm was used to predict high myopia among schoolchildren and then assessed in an independent hold-out group. Results There were 1,285,609 participants (mean age 11.80, SD 3.07, range 6-20 years), of whom 658,516 (51.2%) were male. The overall prevalence of high myopia was 4.48% (2019), 4.88% (2020), and 3.17% (2021), with an increasing trend from the age of 11 to 17 years. The rates of high myopia increased from elementary schools to high schools but decreased at all school stages from 2019 to 2021. The coastal and southern cities had a higher proportion of high myopia, with an overall prevalence between 2.60% and 5.83%. Age, uncorrected distance visual acuity, and spherical equivalents were predictive factors for high myopia onset in schoolchildren. The random forest algorithm achieved a high accuracy of 0.948. The area under the receiver operator characteristic curve (AUC) was 0.975. Both indicated sufficient model efficacy. The performance of the model was validated in an external test with high accuracy (0.971) and a high AUC (0.957). Conclusions High myopia had a high incidence in Guangdong Province. Its onset in children and adolescents was well predicted with the random forest algorithm. Efficient use of real-world data can contribute to the prevention and early diagnosis of high myopia.

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Section: Principal Findingsmentioning

confidence: 99%

Prevalence Patterns and Onset Prediction of High Myopia for Children and Adolescents in Southern China via Real-World Screening Data: Retrospective School-Based Study

Guan¹,

Zhu²,

Hu³

et al. 2023

J Med Internet Res

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“…These activities include promoting awareness, handling social barriers, assisting patients in obtaining educational resources, aligning healthcare systems with needs, and establishing advocacy partnerships. Recently, the ability to apply Big Data to study remote sensing and mapping technologies has dramatically improved 4 and enhanced our understanding of geographic heterogeneity across different regions 5 .…”

Section: Introductionmentioning

confidence: 99%

Utilizing geospatial artificial intelligence to map cancer disparities across health regions

Fadiel,

Eichenbaum,

Abbasi

et al. 2024

Sci Rep

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We have developed an innovative tool, the Intelligent Catchment Analysis Tool (iCAT), designed to identify and address healthcare disparities across specific regions. Powered by Artificial Intelligence and Machine Learning, our tool employs a robust Geographic Information System (GIS) to map healthcare outcomes and disease disparities. iCAT allows users to query publicly available data sources, health system data, and treatment data, offering insights into gaps and disparities in diagnosis and treatment paradigms. This project aims to promote best practices to bridge the gap in healthcare access, resources, education, and economic opportunities. The project aims to engage local and regional stakeholders in data collection and evaluation, including patients, providers, and organizations. Their active involvement helps refine the platform and guides targeted interventions for more effective outcomes. In this paper, we present two sample illustrations demonstrating how iCAT identifies healthcare disparities and analyzes the impact of social and environmental variables on outcomes. Over time, this platform can help communities make decisions to optimize resource allocation.

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“…The literature [15] proposes a geographic information-based autonomous domain-level Internet topology visualization method, which is used to solve the problem that the Internet topology visualization method cannot combine topological features with geographic information. In summary, the goal of geospatial information grids is to provide a wide range of geospatial information services to a large number of users, where the grid acts as an infrastructure in the Internet environment, and distributed GIS functional components provide rich services for processing geographic data [16]- [17].…”

Section: Introductionmentioning

confidence: 99%

The Innovation of GIS Service Mode Based on “Grid Integration” and “Elastic Cloud”

Wang,

Ma,

Hui

2023

Applied Mathematics and Nonlinear Sciences

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This paper firstly investigates the theory and method of geospatial information services and grid integration model in the geographic information grid, intending to locate the parameter coordinates of the grid integration model into the GeoSOT-3D profiling framework. Secondly, the framework of the consumption structure between its services and cloud resources is established by the elastic cloud model based on the computation and storage capabilities provided by the shared grid infrastructure. And use the steady-state theoretical foundation for analysis to assess the service quality of each type of service and reflect the service quality of the GIS service model as a whole. Finally, a GIS service platform based on the grid integration model and elastic cloud model is constructed based on the existing open geographic information standards, service technology system, and grid technology. The research results show that the operation speed of the GIS service platform proposed in this paper is increased by 16.3%, the estimated cost has been reduced by 23.3%, and the service evaluation of the platform is improved by 43.6%. The GIS service platform based on the grid integration model and elastic cloud model has the advantages of global uniformity, multi-scale and spatial 2-3D consistency, which provides a new model with high economy and rapid response time for geographic information processing.

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The evolving field of Big Data: understanding geographic information systems analysis and its transformative potential in ophthalmic research

Cited by 7 publications

References 38 publications

Prevalence Patterns and Onset Prediction of High Myopia for Children and Adolescents in Southern China via Real-World Screening Data: Retrospective School-Based Study

Prevalence Patterns and Onset Prediction of High Myopia for Children and Adolescents in Southern China via Real-World Screening Data: Retrospective School-Based Study

Utilizing geospatial artificial intelligence to map cancer disparities across health regions

The Innovation of GIS Service Mode Based on “Grid Integration” and “Elastic Cloud”

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