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Published on: January 11, 2020
Machine and cognitive intelligence for human health: systematic review.
Xieling Chen1, Gary Cheng2, Fu Lee Wang3
1Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong SAR, China.
Web intelligence enhances brain informatics for human health by integrating cognitive neuroscience and advanced information technologies. This review highlights AI applications in healthcare and suggests future research directions for improved clinical outcomes.
Area of Science:
- Brain informatics, an interdisciplinary field combining cognitive neuroscience and Web intelligence.
- Focuses on understanding human brain information processing for health advancements.
Background:
- Web intelligence (WI) is crucial for advancing brain informatics and human health.
- Increasing research investment in WI-assisted healthcare is evident.
Purpose of the Study:
- To systematically review academic studies on Web intelligence in brain informatics.
- To analyze trends, technologies, clinical applications, and future research directions.
Main Methods:
- Systematic review of academic literature.
- Analysis of article trends, journals, subjects, countries, institutions, study design, AI technologies, clinical tasks, and performance evaluation.
Main Results:
- Key subjects include medical informatics and health care sciences.
- Promising AI technologies: random forests, support vector machines, neural networks for diagnosis, prediction, and monitoring.
- Semantic Web, ontology mining, and topic modeling are valuable for text mining.
Conclusions:
- Web intelligence offers significant potential to improve healthcare procedures and clinical outcomes.
- Future research should prioritize algorithm innovation, data quality, and system generalization for informatics-enabled brain studies.
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