Digital Health in Focus of Predictive, Preventive and Personalised Medicine
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The edition will cover proceedings of the second International conference on digital health Technologies (ICDHT 2019). The conference will address the topic of P4 medicine from the information technology point of view, and will be focused on the following topics:- Artificial Intelligence for health- Knowledge extraction- Decision-aid systems- Data analysis and risk prediction- Machine learning, deep learning- Health data processing- Data preprocessing, cleaning, management and mining- Computer-aided detection- Big data analysis, prediction and prevention- Cognitive algorithms for healthcare ha...
The edition will cover proceedings of the second International conference on digital health Technologies (ICDHT 2019). The conference will address the topic of P4 medicine from the information technology point of view, and will be focused on the following topics:
- Artificial Intelligence for health
- Knowledge extraction
- Decision-aid systems
- Data analysis and risk prediction
- Machine learning, deep learning
- Health data processing
- Data preprocessing, cleaning, management and mining
- Computer-aided detection
- Big data analysis, prediction and prevention
- Cognitive algorithms for healthcare handling dynamic context management
- Augmented reality, Motion detection and activity recognition
- Devices, infrastructure and communication
- Wearable & connected devices
- Communication infrastructures, architectures and standards Blockchain for e-Health
- Computing/storage infrastructures for e-Health
- IoT devices & architectures for Smart Healthcare
- Health information systems
- Telemedicine, Teleservices
- Computing/storage infrastructures for e-Health
- Clinical Data Visualisation Standards
- Security and privacy for e-health
- Health data Analytics for Security and Privacy
- E-health Software and Hardware Security
- Embedded Security for e-health
- Applications in P4 medic
- Artificial Intelligence for health
- Knowledge extraction
- Decision-aid systems
- Data analysis and risk prediction
- Machine learning, deep learning
- Health data processing
- Data preprocessing, cleaning, management and mining
- Computer-aided detection
- Big data analysis, prediction and prevention
- Cognitive algorithms for healthcare handling dynamic context management
- Augmented reality, Motion detection and activity recognition
- Devices, infrastructure and communication
- Wearable & connected devices
- Communication infrastructures, architectures and standards Blockchain for e-Health
- Computing/storage infrastructures for e-Health
- IoT devices & architectures for Smart Healthcare
- Health information systems
- Telemedicine, Teleservices
- Computing/storage infrastructures for e-Health
- Clinical Data Visualisation Standards
- Security and privacy for e-health
- Health data Analytics for Security and Privacy
- E-health Software and Hardware Security
- Embedded Security for e-health
- Applications in P4 medic
