Call for Papers: IEEE HEALTHCOM 2019

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

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