中国临床药理学杂志2018，Vol.34Issue(20)：2449-2451,3.DOI:10.13699/j.cnki.1001-6821.2018.20.016
基于人工神经网络数据挖掘在群体药代动力学中的知识发现
Knowledge discovery based on artificial neural network data mining in population pharmacokinetics
摘要
Abstract
Objective Artificial neural networks ( ANN) is an integral part of artificial intelligence.In this paper, the architecture of artificial neural networks in population pharmacokinetics is discussed and summa -rized according to the data mining techniques of medical information . Methods The data samples of population pharmacokinetics in network databases are collected by data mining , and a large sample population pharmacokinetics ( PPK) database is generated by simulation , and an artificial neural network PPK model based on SPSS system is established . Results The simulated large sample PPK data have the same statistical characteristics as those reported in the literature.The ANN model is sim-ple and the analysis accuracy is better. Conclusion ANN analysis model can be reconstructed by PKK data mining and simulation .关键词
人工神经网络/数据挖掘/群体药代动力学/模拟Key words
artificial neural network/data mining/population pharma-cokinetics/simulation分类
医药卫生引用本文复制引用
王海燕,周陆怡,鲁思博,杨丽,黄锦元,鲁澄宇..基于人工神经网络数据挖掘在群体药代动力学中的知识发现[J].中国临床药理学杂志,2018,34(20):2449-2451,3.基金项目
湛江市科技计划项目基金资助项目(2014B01117) （2014B01117）
