精选整合中医方剂用于临床、教学、科研及中成药研发的

1.数据采集与预处理：数据来源于多个中医药典籍和现代中医药研究文献，经过人工筛选和验证，确保方剂的准确性和可靠性。对数据进行清洗，确保数据的完整性和一致性。
2.数据整合与标准化：将不同来源的方剂数据进行整合，统一药物名称、剂量单位和方剂分类标准，以便于后续的数据分析和应用。
3.知识发现与应用：基于挖掘出的频繁模式和关联规则，构建方剂知识图谱，展示方剂的组成、功效和适应症等信息。同时，开发方剂推荐系统，根据用户输入的病症信息，推荐相应的经典方剂和加减变化。
通过以上算法规则，该数据集能够为中医药研究、临床诊疗和教育提供丰富的方剂知识资源和智能化的应用支持。

1. Data Collection and Preprocessing: The data is sourced from multiple traditional Chinese medicine (TCM) classics and modern TCM research literature, which has undergone manual screening and verification to ensure the accuracy and reliability of the prescriptions. Data cleaning is conducted to guarantee the integrity and consistency of the dataset.
2. Data Integration and Standardization: Prescription data from various sources are integrated, with unified drug names, dosage units and prescription classification standards to facilitate subsequent data analysis and applications.
3. Knowledge Discovery and Application: Based on the mined frequent patterns and association rules, a prescription knowledge graph is constructed to display information such as the composition, efficacy and indications of prescriptions. Meanwhile, a prescription recommendation system is developed, which can recommend corresponding classic prescriptions and their modifications based on the symptom information input by users.
Through the above algorithmic rules, this dataset can provide rich prescription knowledge resources and intelligent application support for TCM research, clinical diagnosis and treatment, as well as education.

搜集汇总

数据集介绍

特点

该数据集是一个大规模的中医方剂数据库，包含13万余条经过标准化处理的方剂信息，适用于临床、教学、科研及药物研发，支持中医药知识的整合与智能化应用。