Aims and Scope
The Journal of Intelligent Computing & Health Informatics (JICHI) is a fast-growing open access scientific journal that focuses on current research results and innovative methods in two main areas: intelligent computing, which is multidisciplinary in nature, and health informatics, which specializes in applications in healthcare. JICHI’s goal is to be the premier platform connecting research communities using interdisciplinary intelligent computing approaches, while advancing health informatics applications to support the healthcare industry, hospitals, government, and academia.
Why Choose JICHI?
- Primary Source of High-Quality Research: JICHI provides innovative and original research results, passing through a rigorous peer review process to ensure strong scientific contributions in these two areas.
- Broad and Multidisciplinary Scope: JICHI covers various disciplines, with a focus on cross-disciplinary intelligent computing and health informatics to meet the research needs of different sectors.
- Continuous Journal Development and Innovation: With a commitment to continuous improvement, JICHI consistently improves its publication quality and manuscript submission experience for the global scientific community.
JICHI Research Areas
JICHI publishes high-quality research results in two main areas with different but complementary foci:
1. Intelligent Computing (Multidisciplinary)
As a multidisciplinary area, intelligent computing at JICHI focuses on the development and application of intelligent computing technologies that can be applied to various disciplines, such as industry, engineering, science, and society. Intelligent computing in JICHI is not limited to healthcare applications, it encompasses a broader scope, including:
- AI-based Modeling and Simulation: Applying artificial intelligence (AI) for simulation in various fields, ranging from environmental science to technical analysis.
- Automated Reasoning and Inference Systems: Developing systems capable of performing complex reasoning automatically in various research contexts.
- Intelligent Information Retrieval and Search: Computational techniques that enable the identification of relevant information from large data sets in various fields.
- Machine Learning for Supervised & Unsupervised Algorithms: Application of machine learning for classification, prediction, and cluster analysis that can be widely used in various fields.
- Multi-agent Systems and Distributed Processing: Developing systems where intelligent agents can work collaboratively in cross-disciplinary applications.
- Bio-inspired Technologies and Swarm Intelligence: Applying nature-inspired models to solve complex computational problems across multiple domains.
2. Health Informatics
As a specialized field, health informatics at JICHI focuses on the application of computing technology to improve the quality, efficiency, and accessibility of healthcare. Research in health informatics aims to develop solutions that support clinical decision-making, medical data management, and patient interaction, including:
- Healthcare Data Mining and Analytics: Using smart analytics to process clinical data to identify health patterns and improve medical predictions.
- Bioinformatics for Healthcare Applications: Utilizing genetic and biomedical data processing to support health research and more accurate diagnosis.
- Natural Language Processing (NLP) for Medical Records: Applying NLP to the interpretation of electronic health records, enabling doctors and medical practitioners to access patient information quickly and efficiently.
- Diagnostic Decision Support System: Developing intelligent systems that support medical personnel in data-driven decision-making for diagnosis and treatment.
- Fuzzy Modeling for Personalized Medicine: Using fuzzy logic to create treatment models tailored to patient profiles.
- IoT Application for Remote Health Monitoring: Integrating IoT devices to monitor patient conditions in real-time in hospitals and at home.
- Development of Intelligent Health Database System: An intelligent database system is designed to securely and effectively store, manage, and access medical data.
- Computer Vision for Medical Image Analysis: Applying AI in medical image analysis such as MRI and CT scans to improve diagnosis accuracy.
- Electronic Health Records (EHR) and Hospital Information Systems (HIS): The development and integration of electronic medical records and hospital information systems to improve operational efficiency and quality of care.
- Mobile Applications for Patient Care and Telemedicine: Use of mobile applications for remote patient care, including telemedicine services, that enable patient consultation and monitoring from any location.
- Systems Integration and Standardization in Health IT: Improved integration and standardization of health information technology to ensure compatibility and operationalization across platforms.
- ICT in Health Promotion and e-Health Programs: Use of ICT for patient empowerment, health promotion programs, and patient safety.
- Healthcare Quality Assurance and Technology Assessment: Assessment of technology and quality assurance of health services to ensure that the technology implemented meets standards and supports improved quality of care.
- Health Economics and Statistical Methods for Decision Support: The development of health economics and statistical methods for supporting computer-based medical decisions, optimizing resource allocation, and cost–benefit analysis in health services.