Discovering the key symptoms for identifying patterns in functional dyspepsia patients: A doctor's decision and machine learning
This study showed important clinical information for differentiating FD patients using real patient data. Our findings suggest that these approaches can contribute to developing tools for pattern identification with enhanced accuracy and reliability.
Authors
- In‐Seon Lee (ORCID: https://orcid.org/0000-0001-9275-3111)
- Da-Eun Yoon (ORCID: https://orcid.org/0000-0002-6718-273X)
- Younbyoung Chae (ORCID: https://orcid.org/0000-0001-6787-2215)
- Heeyoung Moon (ORCID: https://orcid.org/0000-0001-6770-4166)
Institutions
- Kyung Hee University (KR)
- Semyung University (KR)
Publication Details
- Journal
- Integrative Medicine Research
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1016/j.imr.2024.101115
- Citations
- 5
- Primary Topic
- Traditional Chinese Medicine Studies
- Type
- article
- Field-Weighted Citation Impact
- 3.58
Funders
- Kyung Hee University
- Korea Health Industry Development Institute
- Iran Telecommunication Research Center
- Ministry of Science and ICT, South Korea
- Institute for Information and Communications Technology Promotion