Identification of cancer diagnosis estimation models using evolutionary algorithms: a case study for breast cancer, melanoma, and cancer in the respiratory system

SM Winkler, M Affenzeller, W Jacak… - Proceedings of the 13th …, 2011 - dl.acm.org
In this paper we present results of empirical research work done on the data based
identification of estimation models for cancer diagnoses: Based on patients' data records …

Analysis of selected evolutionary algorithms in feature selection and parameter optimization for data based tumor marker modeling

SM Winkler, M Affenzeller, G Kronberger… - … Aided Systems Theory …, 2012 - Springer
In this paper we report on the use of evolutionary algorithms for optimizing the identification
of classification models for selected tumor markers. Our goal is to identify mathematical …

Classification of tumor marker values using heuristic data mining methods

SM Winkler, M Affenzeller, W Jacak… - Proceedings of the 12th …, 2010 - dl.acm.org
Tumor markers are substances that are found in blood, urine, or body tissues and that are
used as indicators for tumors; elevated tumor marker values can indicate the presence of …

Evolutionary identification of cancer predictors using clustered data: a case study for breast cancer, melanoma, and cancer in the respiratory system

SM Winkler, M Affenzeller, H Stekel - Proceedings of the 15th annual …, 2013 - dl.acm.org
In this paper we discuss the effects of using pre-clustered data on the identification of
estimation models for cancer diagnoses. Based on patients' data records including standard …

Data based prediction of cancer diagnoses using heterogeneous model ensembles: a case study for breast cancer, melanoma, and cancer in the respiratory system

SM Winkler, M Affenzeller, S Schaller… - Proceedings of the …, 2014 - dl.acm.org
In this paper we discuss heterogeneous estimation model ensembles for cancer diagnoses
produced using various machine learning algorithms. Based on patients' data records …

Diagnostic value of the dual-luciferase report assay for predicting response to glucocorticoid in children with acute lymphoblastic leukemia

X Wang, P Chen, Y Sun, Y Chen, M Mao… - Clinical and …, 2017 - Springer
Objective Resistance to glucocorticoid (GC) is a significant clinical problem in some cases of
acute lymphoblastic leukemia (ALL). Current methods of assessing GC resistance are time …

Centre-independent Detection of Non-small Cell Lung Cancer (NSCLC) by Means of Classification with Receiver Operating Characteristic (ROC)-based Data …

N Bitterlich, T Muley, J Schneider - Anticancer research, 2010 - ar.iiarjournals.org
The diagnosis of non-small cell lung cancer (NSCLC) by using tumour markers needs to be
improved and standardised in order to compare marker profiles from different centres. A …

On the Identification of Virtual Tumor Markers and Tumor Diagnosis Predictors Using Evolutionary Algorithms

SM Winkler, M Affenzeller, GK Kronberger… - Advanced Methods and …, 2014 - Springer
In this chapter we present results of empirical research work done on the data based
identification of estimation models for tumor markers and cancer diagnoses: Based on …

The biological role of extracellular matrix in ovarian cancer metastasis.

MP Ween - 2010 - digital.library.adelaide.edu.au
Ovarian cancer metastasis is characterized by the shedding of malignant cells from the
surface of the ovary and their implantation onto the peritoneal surface which lines the …

改良荧光磁微粒酶免分析法检测三种肿瘤标志物及应用

王雅杰, 方芳, 索凤霜, 陈彤岩, 康熙雄 - 标记免疫分析与临床, 2008 - cqvip.com
探讨利用改良荧光磁微粒酶免分析法(A 法) 检测三种肿瘤标志物及临床应用价值. 本文用A
法检测352 份血清AFP, CEA 和CA19-9 水平, 并与化学发光微粒免疫分析法(B 法) 比较. A …