The 1st Conference on HEalthcare computing Systems and Technologies (CHEST-2019) aims to bring together the collaboration between research groups in the area of computer science and medical healthcare. CHEST-2019 invites authors from both research areas to submit high-quality papers containing original work. The paper could present a new and practical application of computer techniques, methods, devices, and architectures for improving the quality of healthcare and reducing clinical risks.
Topics: Data processing /communication/storage systems and Healthcare, In/on/around – body sensors and actuators, Integration of medical devices with e-health, Communication/Network infrastructures, architectures, and protocols for e-health, Delay tolerant, fault tolerant and reliable communication in hospital networking, body area networking, and cloud-integrated networking, Using mobile devices in the storage, update, and transmission of patient data, Security issues, Pervasive healthcare systems, Healthcare big data and parallel/distributed systems, Artificial intelligence and Healthcare, Data mining and medical patient records, User modeling and personalization, Computer-aided detection, hypothesis generation, and diagnosis, Sensor-based decision support systems, Smart homes and hospitals, Smart healthcare and big data, Continues and event-driven monitoring of patients, Activity recognition and fall detection, Staffing and resource management, Robotics, Healthcare software and tools, Software applications for mobile medical systems, Modeling and simulation, Computer-assisted learning in medical education, Emerging cloud-based services/applications including health clouds/grids, 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, Telemedicine, Aging/disability problems and intelligent care,