Ge Healthcare
Identifying Trends with Predictive Insights
Opportunities
Creating Actionable Insights
Textual Insights Mining
Big Data Analytics Framework
Predictive Strategies
Visual Analytics Framework
Predictive Algorithms 
assessment Retail Customer behavior prediction and inventory management
Healthcare Patient outcome forecasting and disease outbreak prediction Manufacturing Predictive maintenance and quality control
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Future of Big Data Analytics Companies are investing in technologies that allow them to analyze data as it is
generated, leading to timely decision-making and improved operational efficiency
...Blockchain can enhance data security and integrity, making it a valuable tool for data analytics in sectors such as finance and
healthcare ...
Identifying Trends with Predictive Insights Healthcare: Anticipating patient admissions, predicting disease outbreaks, and improving treatment plans
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Opportunities Healthcare Patient Care Improvement Predicting patient admissions to allocate resources effectively
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Creating Actionable Insights This article explores the methodologies, tools, and best practices for
generating actionable insights from data
...Case Study 2:
Healthcare Sector A hospital utilized predictive analytics to identify patients at risk of readmission
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Textual Insights Mining Healthcare: TIM can be used to analyze patient feedback and clinical notes to enhance patient care
...Automated Insights
Generation: Machine learning algorithms will enable automated generation of insights, reducing the need for manual analysis
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Big Data Analytics Framework Overview The Big Data Analytics Framework is designed to handle vast amounts of structured and unstructured data
generated from various sources such as social media, sensors, transactions, and more
...Healthcare: Using patient data to enhance treatment plans and predict outbreaks
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Predictive Strategies Healthcare: Forecasting patient admissions and optimizing treatment plans
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Visual Analytics Framework Some notable applications include:
Healthcare: Analyzing patient data to improve treatment outcomes and operational efficiencies
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Feature Selection Improved Model Performance: By removing irrelevant or redundant features, models can achieve higher accuracy and better
generalization on unseen data
...Healthcare: In medical diagnosis, identifying key biomarkers can improve the effectiveness of predictive models
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