Breast cancer prediction using a neural network model

被引：0

作者：

Nastac, I ^{[1
]}

Jalava, P ^{[1
]}

Collan, M ^{[1
]}

Collan, Y ^{[1
]}

Kuopio, T ^{[1
]}

Back, B ^{[1
]}

机构：

[1] Abo Akad Univ, TUCS, Turku, Finland

来源：

Soft Computing with Industrial Applications, Vol 17 | 2004年 / 17卷

关键词：

ER; neural network; training; test; prediction; cutpoint; efficiency; sensitivity; specificity;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper reports results on using an artificial Moral network (ANN) for predicting the estrogen receptor (ER) status, which is not always available, but has a place in therapy selection of breast cancer. Our results show that in more than two thirds of the cases, the ANN is able to predict the correct ER status. An optimum neural architecture was researched, and optimal cutpoint for prediction selected on the basis of clinical data.

引用

页码：423 / 428

页数：6

共 50 条

[41] A Time Series Prediction Model Using Constructive Neural Network
Xiao, Yegui
Doi, Kazunari
Ikuta, Akira
Wang, Jing
2012 IEEE 11TH INTERNATIONAL CONFERENCE ON CYBERNETIC INTELLIGENT SYSTEMS (CIS), 2012,
[42] Ground Motion Prediction Model Using Artificial Neural Network
J. Dhanya
S. T. G. Raghukanth
Pure and Applied Geophysics, 2018, 175 : 1035 - 1064
[43] Ground Motion Prediction Model Using Artificial Neural Network
Dhanya, J.
Raghukanth, S. T. G.
PURE AND APPLIED GEOPHYSICS, 2018, 175 (03) : 1035 - 1064
[44] Air Quality Prediction Using a Deep Neural Network Model
Cho, Kyunghak
Lee, Byoung-Young
Kwon, Myeongheum
Kim, Seogcheol
JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT, 2019, 35 (02) : 214 - 225
[45] Software Bug Prediction Model using Graph Neural Network
Takeda, Tomohiro
Masuda, Satoshi
2024 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE TESTING, VERIFICATION AND VALIDATION WORKSHOPS, ICSTW 2024, 2024, : 122 - 127
[46] Milling wear prediction using an artificial neural network model
Yau, Her-Terng
Kuo, Ping-Huan
Hong, Song-Wei
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 135
[47] Haze Prediction Model Using Deep Recurrent Neural Network
Shang, Kailin
Chen, Ziyi
Liu, Zhixin
Song, Lihong
Zheng, Wenfeng
Yang, Bo
Liu, Shan
Yin, Lirong
ATMOSPHERE, 2021, 12 (12)
[48] Air pollution prediction by using an artificial neural network model
Maleki, Heidar
Sorooshian, Armin
Goudarzi, Gholamreza
Baboli, Zeynab
Birgani, Yaser Tahmasebi
Rahmati, Mojtaba
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2019, 21 (06) : 1341 - 1352
[49] Icing Thickness Prediction Model Using BP Neural Network
Huang, Xinbo
Li, Jiajie
PROCEEDINGS OF 2012 IEEE INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND DIAGNOSIS (IEEE CMD 2012), 2012, : 754 - 756
[50] On the Finding Proper Cache Prediction Model Using Neural Network
Khakhaeng, Songchok
Chantrapornchai, Chantana
2016 8TH INTERNATIONAL CONFERENCE ON KNOWLEDGE AND SMART TECHNOLOGY (KST), 2016, : 146 - 151

← 1 2 3 4 5 →