海南师范大学学报（自然科学版）2025，Vol.38Issue(2)：167-176,10.DOI:10.12051/j.issn.1674-4942.2025.02.007
三种常用数据分析方法在药物制剂研究中的应用
Application of Three Commonly Used Data Analysis Methods in Pharmaceutical Preparations Research
摘要
Abstract
With the continuous development of science and technology,the complexity of pharmaceutical preparations and the demand for personalization are increasing,which makes the traditional trial-and-error methods insufficient to meet the rapid,efficient,and precise requirements of drug research and development.Data analysis,by employing scientific meth-ods,processes,and algorithms to gain insights and extract information from large-scale datasets,provides a scientific and systematic approach for optimizing pharmaceutical preparation design.The application of data analysis methods is gradual-ly improving the design of drug dosage forms,optimizing production processes,and enhancing the efficiency of drug formu-lation research and development,which is significant for improving the quality and efficacy of pharmaceutical preparations.This article reviewed three commonly used data analysis method including multivariate statistical analysis,machine learn-ing,and data mining,highlighting their interconnections and focuses.We summarized the application of data analysis meth-ods in the research of pharmaceutical preparation and discussed the prospects for the application of data analysis in this field,providing a reference for the intelligent development of drug formulations.关键词
数据分析方法/药物制剂/多元统计分析/机器学习/数据挖掘Key words
data analysis methods/pharmaceutical preparations/multivariate statistical analysis/machine learning/data mining分类
化学工程引用本文复制引用
袁晨宜,李晓,洪卫漫,陈泽锴,周良良,张定,陈振华..三种常用数据分析方法在药物制剂研究中的应用[J].海南师范大学学报（自然科学版）,2025,38(2):167-176,10.基金项目
江西省杰出青年基金项目(20224ACB216019) （20224ACB216019）
