Topics
Data Mining and Clinical Studies
Patient Electronic Health Records
Healthcare Portals to inform and connect Patients with Physicians
Telemedicine
Automatic Identification and Data Collector Systems
Internet and Medicine
IT and Patient Care
RFID and localization techniques
Usability and Ubiquity in e-Health
e-Health Virtual Communities
Artificial Intelligence for Healthcare Decision Making
Remote Patient Monitoring
Systematic Literature Reviews Related to Healthcare Treatments and Policies
Improving availability, quality, and equity of health services, including:
cost effectiveness analyses
Strategies to mitigate the impact of COVID-19 on routine or preventive health services
Approaches to strengthen accountability for the delivery of quality health services
Deep learning in medicine, human biology, and healthcare
Deep learning-based clinical decision making
Deep learning in biomedical applications
Big data with smart computing in bioinformatics and biomechanics
Big data analytics for human biology and healthcare services
Big data with intelligent IoT for smart healthcare
Big data analytics in biomedical services
Intelligent devices and instruments for medical and healthcare services
Intelligent and process-aware information systems in human biology, healthcare, and medicine
Tracks
The Research Track
The Trends and Perspectives Track explores the state of the art in the mentioned disciplines.
Full papers (12-16 pages including references)
Short papers (6-8 pages including references)
Submitted papers must follow the guidelines and templates provided by Springer. Here are the LNEE Guidelines and templates: https://www.springer.com/us/authors-editors/conference-proceedings/conference-proceedings-guidelines
All papers must be original and not simultaneously submitted to another journal or conference.
The references should include all published literature relevant to the paper.
The review process will be Single-Blind review.