A5104771396- Machine Learning in Healthcare
- Biomedical Text Mining and Ontologies
- Topic Modeling
- AI in cancer detection
- Medical Coding and Health Information
- Artificial Intelligence in Healthcare
- Medical Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
National Kaohsiung University of Science and Technology
2024-2025
National Health Research Institutes
2024
Background International Classification of Diseases codes are widely used to describe diagnosis information, but manual coding relies heavily on human interpretation, which can be expensive, time consuming, and prone errors. With the transition from Diseases, Ninth Revision, Tenth Revision (ICD-10), process has become more complex, highlighting need for automated approaches enhance efficiency accuracy. Inaccurate result in substantial financial losses hospitals, a precise assessment outcomes...
Data curation for a hospital-based cancer registry heavily relies on the labor-intensive manual abstraction process by registrars to identify cancer-related information from free-text electronic health records. To streamline this process, natural language processing system incorporating hybrid of deep learning-based and rule-based approaches identifying lung registry-related concepts, along with symbolic expert that generates coding based weighted rules, was developed. The is integrated...
<sec> <title>BACKGROUND</title> International Classification of Diseases codes are widely used to describe diagnosis information, but manual coding relies heavily on human interpretation, which can be expensive, time consuming, and prone errors. With the transition from <i>International Diseases, Ninth Revision</i>, Tenth Revision</i> (<i>ICD-10</i>), process has become more complex, highlighting need for automated approaches enhance efficiency accuracy....