Adaptive prediction of patient response to erythropoietin using neural network ensemble

被引：0

作者：

Gaweda, Adam E. ^{[1
]}

Muezzinoglu, Mehmet K. ^{[2
]}

Zurada, Jacek M. ^{[2
]}

Brier, Michael E. ^{[3
]}

机构：

[1] Univ Louisville, Dept Med, Louisville, KY 40292 USA

[2] Univ Louisville, Dept Elect & Comp Engn, Louisville, KY 40292 USA

[3] Univ Louisville, Dept Veteran Affairs, Dept Med, Louisville, KY 40292 USA

来源：

2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6 | 2007年

基金：

美国国家卫生研究院;

关键词：

D O I：

10.1109/IJCNN.2007.4371311

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A Neural Network Ensemble for adaptive prediction of patient response to anemia correction with erythropoietin is presented. The model combines individual neural networks whose outputs are aggregated using prediction error information. The purpose of this approach is to perform response modeling that can be used for individualized, patient-specific drug delivery.

引用

页码：2268 / +

页数：2

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