Non-Parametric Kernel Density Estimation for the Prediction of Neoadjuvant Chemotherapy Outcomes

被引：1

作者：

Wanderley, Maria Fernanda B. ^{[1
]}

Braga, Antonio P. ^{[1
]}

Mendes, Eduardo M. A. M. ^{[1
]}

Natowicz, Rene ^{[2
]}

Rouzier, Roman ^{[3
]}

机构：

[1] Univ Fed Minas Gerais, Dept Engn Eletron, Belo Horizonte, MG, Brazil

[2] Univ Paris Est, ESIEE, Dept Informat, Paris, France

[3] Hop Tenon, Serv gynecol, Paris, France

来源：

2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2010年

关键词：

D O I：

10.1109/IEMBS.2010.5626748

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this paper we propose an application of local statistical models to the problem of identifying patients with pathologic complete response (PCR) to neoadjuvant chemotherapy. The idea of using local models is to split the input space (with data from PCR and NoPCR patients) and build a model for each partition. After the construction of the models we used bayesian classifiers and logistic regression to classify patients in the two classes.

引用

页码：1775 / 1778

页数：4

共 50 条

[1] Wind Power Prediction Based on Kalman Filter and Non-parametric Kernel Density Estimation
Li, Daoqing
Hussain, Adil
Yu, Xiaodong
Liu, Shulin
Yu, Xuanzhou
Zhang, Kai
[J]. 2021 IEEE IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (IEEE I&CPS ASIA 2021), 2021, : 1319 - 1324
[2] Non-parametric approach to ICA using kernel density estimation
Sengupta, K
Burman, P
[J]. 2003 INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOL I, PROCEEDINGS, 2003, : 749 - 752
[3] Supervised non-parametric discretization based on Kernel density estimation
Luis Flores, Jose
Calvo, Borja
Perez, Aritz
[J]. PATTERN RECOGNITION LETTERS, 2019, 128 : 496 - 504
[4] Prediction error analysis of wind power based on clustering and non-parametric kernel density estimation
Zhang, Xiaoying
Zhang, Xiaomin
Liao, Shun
Chen, Wei
Wang, Xiaolan
[J]. Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2019, 40 (12): : 3594 - 3604
[5] Wind Power Prediction Errors Model and Algorithm Based on Non-parametric Kernel Density Estimation
Liao, Guodong
Ming, Jie
Wei, Boyuan
Xiang, Hongji
Jiang, Nan
Ai, Peng
Dai, Chaohua
Xie, Xintao
Li, Mengjiao
[J]. 2015 5TH INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES (DRPT 2015), 2015, : 1864 - 1868
[6] Correction method of wind speed prediction based on non-parametric kernel density estimation and numerical weather prediction
Liu, Xiaonan
Zhou, Jiegui
Jia, Hongjie
Mu, Yunfei
Wang, Tong
Dai, Chensong
[J]. Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2017, 37 (10): : 15 - 20
[7] Non-parametric kernel estimation of the coefficient of a diffusion
Jacod, J
[J]. SCANDINAVIAN JOURNAL OF STATISTICS, 2000, 27 (01) : 83 - 96
[8] A non-parametric approach for independent component analysis using kernel density estimation
Sengupta, K
Burman, P
Sharma, R
[J]. PROCEEDINGS OF THE 2004 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 2, 2004, : 667 - 672
[9] TRUS image segmentation with non-parametric kernel density estimation shape prior
Wu, Pengfei
Liu, Yiguang
Li, Yongzhong
Shi, Yongtao
[J]. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2013, 8 (06) : 764 - 771
[10] A non-parametric approach for independent component analysis using kernel density estimation
Sengupta, Kuntal
Burman, Prabir
Sharma, Rajeev
[J]. Proc IEEE Comput Soc Conf Comput Vision Pattern Recognit, 1600, (II667-II672):

← 1 2 3 4 5 →