Identification of cancer diagnosis estimation models using evolutionary algorithms: a case study for breast cancer, melanoma, and cancer in the respiratory system
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 …
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
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 …
of classification models for selected tumor markers. Our goal is to identify mathematical …
Classification of tumor marker values using heuristic data mining methods
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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
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 …