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1.
Chinese Medical Ethics ; (6): 676-682, 2024.
Article in Chinese | WPRIM | ID: wpr-1012960

ABSTRACT

In recent years, with the continuous progress of medical technology, the survival rate of cancer patients after treatment has been continuously improved, and more and more young cancer patients begin to pay attention to the fertility problem after survival. For prepubertal or adolescent cancer patients who require urgent chemoradiotherapy, and for reproductive female patients, ovarian tissue cryopreservation (OTC) follows by transplantation is the only option to preserve their fertility at present. Although the OTC technology has been carried out as a routine clinical project in a few medical institutions in China, it is still in the stage of clinical trial research in majority medical institutions. There are still many technical and ethical challenges in clinical practice of OTC technology. Therefore, this paper discussed the ethical principles that should be followed in clinical practice of human OTC and transplantation, and briefly analyzed the corresponding ethical issues. When implementing this technology, the indications should be followed strictly, the wishes of patients should be respected and true and full informed consent should be obtained while ensuring that the cancer treatment of patients is not delayed. Besides, it is significants to accumulate enough experience for minor patients to fully protect their rights and interests and promote the construction of relevant national laws and regulations.

2.
Chinese Journal of Information on Traditional Chinese Medicine ; (12): 92-96, 2017.
Article in Chinese | WPRIM | ID: wpr-667809

ABSTRACT

Objective To explore suitable pre-processing methods for the TCM clinical data based on prospective study on insomnia treated by syndrome differentiation. Methods Based on the TCM shared clinical and research information platform and by using man-machine combination method, data cleaning rules, physician review, rule revision, procedural import and batch processing were used to conduct pre-processing for data in prospective study on insomniac treated by syndrome differentiation of 8 TCM doctors. Results Totally 27534 rules for symptoms data of individual treatment of insomnia were made and 1036 rules for diagnostic data, 842 rules for therapeutic ways, 540 rules for formula data, 3785 rules for data of Chinese materia medica. Conclusion Different kinds of terminology concepts were normalized at different levels, at the same time, characteristics of individualized treatment based on syndrome differentiation were reserved. Appropriate pre-processing methods can be used in the reaserch of individualization and standardization of TCM syndrome differentiation clinical data and can provide support for data mining.

3.
World Science and Technology-Modernization of Traditional Chinese Medicine ; (12): 417-421, 2015.
Article in Chinese | WPRIM | ID: wpr-463945

ABSTRACT

Based on traditional Chinese medicine (TCM) herb data of inpatient department and senior famous TCM doctors from many TCM hospitals in China. Existing problems of TCM herb data standardization preprocessing were analyzed in order to explore scientific and reasonable preprocessing program which can provide technical support for the accurate analysis of herbal information. Clinical medicine doctors and herbal pharmacists collaborated and analyzed the real-world TCM herb data collected from multi-regions. In connection with characteristics of TCM, data mining was combined in the analysis of requirement to identify existing problems and explore appropriate problem-solving solutions. The results showed that based on the Pharmacopoeia of the People's Republic of China (PPRC, 2010 version) and regional herb preparing and dispensing guidelines, the herb collection rules, methods and processes were made for the herb data standardization. Herbal data processing program for different regions were formulated. It was concluded that herb data standardization rules and methods made by this plan solved standardization and accuracy of TCM herb data analysis and utilization in multi-area.

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