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Medical, Biomedical, and Health Informatics:
- Electronic medical records (EMR) and electronic prescription
- HL-7
- Interoperability for personal Health systems
- Data preprocessing, cleansing, management and mining
- Data quality assessment and improvement
- Medical imaging
- Computer-aided detection, hypothesis generation and diagnosis
- Evidence-based medicine
- Evolutionary and longitudinal patient and disease models
- Clinical workflow
- Medication adherence and health monitoring
- Smart health and big data
- Deep IoT analysis
- M2M
- Methods for inputting, transmitting and processing data for e-health
- Multimedia e-health data exchange services
E-Health Solutions to Challenging Problems:
- Vector Borne Diseases (Dengue, Malaria, Leaishmaniasis)
- Neglected Diseases
- Telemedicine for rural area
- Aging problems and intelligent care
- Bioinformatics and precision medicine
- Smart agriculture for human health
System Research:
- Standardization
- Requirements Engineering
- Social technological alignment
- E-Health and m-health governance
- Quality of care
- Business modeling
- Supply chain management
- Anti-counterfeiting
- Smart Pharmaceuticals
- Global e-health strategies
- Tagging and tracking
- Work flow
- Patient flow
High Performance Computing:
- Wearable sensors for patients monitoring
- Virtual rehabilitation (stroke, Parkinson disease, Alzheimer disease, multiple sclerosis)
- Telemedicine for aging
- Gait analysis (arm swing, balance, posture control)
- Eye-tracking
- Falls (detection, tracking)
- m-Health
- Neuromodulation
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Services and Applications:
- e-Health services/applications for physical and mental health; for example, in acute care, chronic care, mental health care, biomedical engineering, rehabilitation, prosthetics, elderly/nursing care, smart homes and hospitals, and rural/wilderness practice.
- e-Health services/applications for sports and exercise; for example, in training prescription and feedback, concussion detection/monitoring, life-logging and fitness monitoring.
- e-Health services/applications for public health; for example, disease prevention, pandemic preparedness, epidemiological interventions and smart cities.
- e-Health services/applications for extreme environments; for example, in firefighting, disaster response, evacuation assistance, medical triage, space travel/exploration, deep diving and deepsea exploration
- m-Health applications and software
- Quality of experience (QoE) with e-Health services/applications.
- Security, privacy and trust for e-Health services/applications
- Emerging cloud-based services/applications including health clouds/grids
- Usability of e-Health systems and devices
Communications and Networking:
- Converged networks and applications
- Network and services virtualization
- Quality of Service (QoS) and Quality of Experience (QoE)
- Software Defined Networking (SDN) and network management
- Delay-tolerant, fault-tolerant and reliable communication
- Cognitive communication for medical bands
- In-hospital networking, body area networking and cloud-integrated networking
- Network Function Virtualization
- Nanoscale/molecular communications
- Network coding and error detection/correction
- Resilience and robustness
- Security
Big Data For Health Systems:
- Big data models, theories, algorithms, approaches, solutions
- Machine learning, data mining, web mining, and graph mining
- Deep Learning for Health
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