Method and Tool Construction for Data Collection and Processing of Classical Formula Medical Cases Serving Intelligent Diagnosis and Treatment

Corresponding author: wenzhihua, wenzhihua137@qq.com

DOI: 10.12201/bmr.202501.00065

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  Abstract: Purpose/Significance Chinese medicine intelligent diagnosis and treatment model and system based on artificial intelligence are developing rapidly. Chinese medicine case data collection and processing oriented to intelligent diagnosis and treatment is an important basis for intelligent model research. However, high-quality basic medical record data has always been an important factor restricting the development of TCM intelligent model. Method/Process In this study, we put forward the general framework for data collection and processing of classical formula medical records of TCM, including collection methods of web pages, paper documents, electronic medical records and existing databases, as well as pre-processing processes including cleaning, similarity detection, manual proofreading, etc. Result/Conclusion We propose the algorithms corresponding to important processes and the results of acquisition and processing. We finally obtained 12,499 pieces of effective prescription medical data, laying a solid data foundation for downstream intelligent diagnosis and treatment model training. At the same time, this research work provides a useful method and idea for data collection and processing in the field of traditional Chinese medicine.

  Key words: Medical case data collection; Medical case data processing; Classical formula medical case data set; Artificial intelligence; Traditional Chinese medicine

  Submit time: 22 January 2025

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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