Knowledge discovery based on artificial neural network data mining in population pharmacokinetics
10.13699/j.cnki.1001-6821.2018.20.016
- VernacularTitle: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
- Author:
Hai-Yan WANG
1
;
Lu-Yi ZHOU
;
Si-Bo LU
;
Li YANG
;
Jin-Yuan HUANG
;
Cheng-Yu LU
Author Information
1. 广东医科大学图书馆
- Keywords:
artificial neural network;
data mining;
population pharma-cokinetics;
simulation
- From:
The Chinese Journal of Clinical Pharmacology
2018;34(20):2449-2451
- CountryChina
- Language:Chinese
-
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 .
