A5005495416- Multi-Criteria Decision Making
- Machine Learning in Healthcare
- Artificial Intelligence in Healthcare
- Privacy-Preserving Technologies in Data
- Topic Modeling
- Evaluation and Optimization Models
- Text and Document Classification Technologies
- Advanced Graph Neural Networks
- Biomedical Text Mining and Ontologies
- Advanced Text Analysis Techniques
- Competency Development and Evaluation
- Advanced Clustering Algorithms Research
- Higher Education and Teaching Methods
- Higher Education Learning Practices
- Face and Expression Recognition
- Fuzzy Systems and Optimization
- Artificial Intelligence in Healthcare and Education
- Optimization and Mathematical Programming
- Image Retrieval and Classification Techniques
Beijing Jiaotong University
2018-2024
Beijing University of Chinese Medicine
2024
The Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) method has been developed as one of the effective techniques to accomplish best alternative selection multicriteria decision-making (MCDM) problems. However, existing PROMETHEE methods fail adjust representation range uncertain information. Moreover, weight determination and information aggregation in model still suffer from an excessive dependence decision makers' (DMs') subjective judgments lack considering...
In modern society, people concern more about the evaluation of medical service quality.Evaluation quality is helpful for providers to supervise and improve their quality.Also, it will help public understand situation different providers.As a multi-criteria decision-making (MCDM) problem, can be effectively solved by aggregation operators in interval-valued q-rung dual hesitant fuzzy (IVq-RDHF) environment.Thus, this paper proposes Maclaurin symmetric mean (IVq-RDHFMSM) operator weighted...
Diagnostic error refers to a missed, delayed, or wrong diagnosis, which seriously affects diagnostic reliability and safety. Identifying errors is crucial for research. As an important method of identifying errors, electronic triggers (e-triggers) have several limitations, including the performance improvement bottleneck, inability predict narrow trigger range caused by inadequate data utilization. This article proposes novel approach in medical records (EMRs) based on machine learning (ML)...
Given the background that Sino foreign cooperative education project is increasing, this research devoted to construction of a teachers' resources network. Through interviews and questionnaires, we collected evaluation indexes made further investigation, then constructed network system based on competency model. This will combine Chinese teachers, enterprise mentors together build network, which can select suitable teachers from make teacher more reasonable diversified.