Formulation data OFDT.csv

A total of 248 articles were retrieved through a database search. Out of these, only 185 research articles were selected for data extraction. Upon further hand search, 93 articles did not meet the inclusion criteria and were excluded from the study. After thorough sorting, 92 articles yielded a total of 1076 formulations. The formulation data included the name of the API, other excipients, and process details, all of which were documented in the dataset. The final dataset consisted of the following parameters for each formulation: API name, dose, excipient name, dose (each excipient displayed in a separate column), hardness, friability, thickness, punch size, and DT. This information was then used for modelling using ML techniques本研究通过数据库检索共获取248篇文献。从中筛选出185篇研究文献用于数据提取。经进一步人工核查，93篇文献因不符合纳入标准而被剔除出本研究。经过全面梳理整合，最终从92篇合格文献中提取得到1076组制剂处方数据。该处方数据涵盖活性药物成分（Active Pharmaceutical Ingredient，API）名称、其他药用辅料信息及工艺细节，所有内容均已完整录入本数据集。最终数据集为每组制剂处方收录了以下参数：活性药物成分名称、给药剂量、辅料名称、各辅料的给药剂量（每类辅料单独占用一列）、硬度、脆碎度、片厚、冲模尺寸以及溶出时间（Dissolution Time，DT）。上述数据集信息随后被用于机器学习（Machine Learning，ML）技术建模分析。