Disease Outbreak
Identification
Predictive Models
Data Mining Analytics
Data Mining and Behavioral Analysis
Insights from Predictive Data Analysis
Forecasting Trends Using Predictive Analytics
Predictive Analytics
Predictive Analytics in Healthcare Applications 
analytics has a wide range of applications in healthcare, including but not limited to: Patient Readmission Prediction
Disease Outbreak Prediction Personalized Medicine Clinical Decision Support Resource Management 1
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Data Mining for Healthcare Analytics healthcare, including but not limited to: Predictive Analytics Patient Segmentation Clinical Decision Support
Disease Outbreak Prediction Healthcare Cost Management Key Techniques in Data Mining for Healthcare Several techniques are commonly used in data mining for healthcare
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Identification Healthcare In healthcare, identification can help with:
Disease outbreak detection by identifying patterns in patient data
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Predictive Models Credit scoring, fraud detection Healthcare Patient outcome prediction,
disease outbreak forecasting Manufacturing Predictive maintenance, supply chain optimization Telecommunications
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Data Mining Analytics Healthcare: Predictive analytics for patient outcomes,
disease outbreak forecasting, and resource allocation
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Data Mining and Behavioral Analysis Fraud detection, risk management Healthcare Predictive analytics for patient outcomes,
disease outbreak prediction Telecommunications Churn prediction, customer profiling Manufacturing Predictive maintenance,
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Insights from Predictive Data Analysis Healthcare: Patient outcome predictions, resource allocation, and
disease outbreak forecasting
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Forecasting Trends Using Predictive Analytics Healthcare Patient outcome predictions, resource allocation, and
disease outbreak forecasting
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Predictive Analytics (K)
Healthcare Patient outcome predictions,
disease outbreak forecasting, operational efficiency
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Framework Healthcare: Patient outcome prediction,
disease outbreak forecasting, and operational efficiency improvement
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