Artificial Intelligence Based Health Informatics Analytical Dashboard "Health Lens"

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dc.contributor.author Nada Munir, 01-135201-079
dc.contributor.author Ahmar Aamir, 01-135201-008
dc.date.accessioned 2024-03-11T06:01:03Z
dc.date.available 2024-03-11T06:01:03Z
dc.date.issued 2023
dc.identifier.uri http://hdl.handle.net/123456789/17053
dc.description Supervised by Dr. Fatima Khalique en_US
dc.description.abstract Technology is improving and modifying healthcare systems. Real-time dashboards driven by AI offer a new method of using data to support decision-making for healthcare professionals. There isn’t yet a dashboard that has all the capabilities. Our proposed approach will include hot-spot identification, forecasting, and preprocessing. The dashboard aims to ensure performance and adaptability by utilizing artificial intelligence and machine learning to tackle the difficulties associated with disease surveillance in Pakistan. Pakistan lags in using AI for health-related analytic and disease surveillance, despite the fact that data analysis has substantially assisted public health professionals worldwide. In order to find trends in geographic data, the dashboard will make use of the Gi* model for hotspot discovery. The dashboard will forecast using ARIMA and Facebook Prophet models to identify trends across various time periods. By providing users with powerful AI-powered analytic tools, the dashboard can help them identify patterns and trends that would be difficult to detect manually en_US
dc.language.iso en en_US
dc.publisher Computer Sciences en_US
dc.relation.ispartofseries BS (IT);P-02160
dc.subject Artificial Intelligence en_US
dc.subject Health Informatics en_US
dc.subject Analytical Dashboard en_US
dc.title Artificial Intelligence Based Health Informatics Analytical Dashboard "Health Lens" en_US
dc.type Project Reports en_US


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