BigData 2020 : Healthcare Evolution in Big Data Analytics: Challenges, Trends and Applications

Suitable topics include, but are not limited, to the following:
 

• Data storage and processing capabilities for relational, images, PDF, and text data
• Data processing optimization and performance
• Data access, curation and integration of disparate source systems
• Cloud based enterprise solutions
• Scalability of healthcare data as a platform EHR integration and analytics
• Mining structured and unstructured data
• Medical data standardization
• Master data management and normalization
• Fuzzy matching
• Natural language processing
• Internet of Things (IoT) solutions for healthcare
• IoT data access and integration
• Data security and privacy
• Artificial intelligence and machine learning in healthcare
• Patient population analytics
• Chronic disease management
• Computational intelligence for healthcare big data analytics
• Benchmarking for opportunity identification
• Predictive analytics such as disease and risk identification
• Medical imaging analytics
• Preventive and proactive patient care
• Medical supply chain management
• Real time health alerts to patients
• Recommendations systems on health needs
• Data insights and visualization
• Content delivery solutions for healthcare team and/or patients
• Mobile-based health care
• Secure access to patient data
• Personalized medical care
• Patient engagement and satisfaction
• Telemedicine