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Research on Key Technologies of Intelligent Devices for Chinese Medicine Diagnosis by Observation Based on Multi-dimensional Information Perception and Feature Fusion - Evaluation of Educational Effectiveness of the Digital Inheritor System for Chinese Medicine Experts

Development of a diagnostic model for type 2 diabetes mellitus patients based on machine learning techniques using Traditional Chinese Medicine (TCM) observation diagnosis information.

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ITMCTR
Registry ID
ITMCTR2026001011
Enrollment
Unknown
Registered
2026-04-17
Start date
2024-12-06
Completion date
Unknown
Last updated
2026-04-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Xichen Zhang specializes in treating various diseases, including Type 2 diabetes mellitus (Xiaoke) and other related medical cases.

Interventions

Medical Expert Digital Heritage System Group (Group A):Through dialogue-based interactive learning with the Digital Inheritor System, study the core works of Zhang Xichun.
Traditional learning materials group (Group B):Using printed editions of original classical texts and vernacular translations for self-study.

Sponsors

China Academy of Traditional Chinese Medicine, Xiyuan Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
20 Years to 24 Years

Inclusion criteria

Inclusion criteria: (1) Currently enrolled students in Traditional Chinese Medicine (TCM) programs (undergraduate students in their third year or above, or graduate students); (2) Individuals who have not previously undergone systematic coursework or specialized training in Zhang Xichen's academic thoughts; (3) Capable of completing a 6-month structured learning plan and assessments at each stage as required by the study; (4) Voluntarily participating in this research and signing an informed consent form.

Exclusion criteria

Exclusion criteria: (1) Those with relevant course study or specialized training experience related to Zhang Xichen; (2) Those who experienced major events during the study period that could significantly impact normal learning (e.g., serious illness, long-term overseas travel, withdrawal from school, etc.); (3) Those concurrently participating in other educational intervention programs that may affect the outcomes of this study; (4) Those unable to independently use the required digital devices for the study (Group A) or complete paper-based reading (Group B); (5) Other situations deemed unsuitable for participation in this study by the researchers.

Design outcomes

Primary

MeasureTime frame
Comprehensive Evaluation of Educational Effectiveness;

Secondary

MeasureTime frame
Scores for individual dimensions;Learning Engagement;System Satisfaction;

Countries

China

Contacts

Public ContactLiu Zhengtang

China Academy of Traditional Chinese Medicine, Xiyuan Hospital

doctozht@126.com18500386887

Outcome results

None listed

Source: ITMCTR (via WHO ICTRP) · Data processed: May 1, 2026