Health informatics is the multidisciplinary field with the combination of information science, health care and computer technology. The benefits of health informatics are (i) doctors can treat patients more effectively, (ii) statistical informatics provides the details about the medical treatment given to the patients, (iii) hospitals can track patients past records for faster treatment in the future.
Computational intelligence paradigms play a significant role in health informatics that provides decision support tools to medical specialists in the treatment of patients. In recent years, many research has been focussed on the use of computational intelligence in health informatics for computer aided diagnosis and prognosis of patient conditions.
The aim of this special issue is to discover original research on innovative and emerging areas of computational intelligence paradigms in the field of health informatics for medical diagnosis and prognosis.
Suitable topics include, but are not limited, to the following:
- Healthcare software architecture
- Multimodal data analysis
- Decision support systems
- Pattern recognition and machine learning
- Ontology driven knowledge management
- Evaluation and use of healthcare IT
- Clinical problems and applications
- Cognitive Informatics
- Human-machine interfaces
- Medical data mining
- Governance in healthcare
Manuscripts due by: 1 July, 2017
Notification to authors: 1 September, 2017
Final versions due by: 1 November, 2017