Intelligent Techniques Using Molecular Data Analysis in Leukaemia: An Opportunity for Personalized Medicine Support System
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Intelligent Techniques Using Molecular Data Analysis in Leukaemia: An Opportunity for Personalized Medicine Support System
Authors
Keywords
-
Journal
Biomed Research International
Volume 2017, Issue -, Pages 1-21
Publisher
Hindawi Limited
Online
2017-07-26
DOI
10.1155/2017/3587309
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Automated Assessment of Disease Progression in Acute Myeloid Leukemia by Probabilistic Analysis of Flow Cytometry Data
- (2017) Bartek Rajwa et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Machine Learning for Personalized Medicine: Predicting Primary Myocardial Infarction from Electronic Health Records
- (2017) Jeremy C. Weiss et al. AI MAGAZINE
- A Personalized Framework for Dynamic Modeling of Disease Trajectories in Chronic Lymphocytic Leukemia
- (2016) Symeon Savvopoulos et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Improving pattern classification of DNA microarray data by using PCA and logistic regression
- (2016) Ricardo Ocampo-Vega et al. Intelligent Data Analysis
- Artificial neural network model for effective cancer classification using microarray gene expression data
- (2016) Ashok Kumar Dwivedi NEURAL COMPUTING & APPLICATIONS
- Weighted doubly regularized support vector machine and its application to microarray classification with noise
- (2016) Juntao Li et al. NEUROCOMPUTING
- Automated analysis of acute myeloid leukemia minimal residual disease using a support vector machine
- (2016) Wanmao Ni et al. Oncotarget
- Fuzzy logic selection as a new reliable tool to identify molecular grade signatures in breast cancer – the INNODIAG study
- (2015) Tatiana Kempowsky-Hamon et al. BMC Medical Genomics
- Gene selection from microarray gene expression data for classification of cancer subgroups employing PSO and adaptive K-nearest neighborhood technique
- (2015) Subhajit Kar et al. EXPERT SYSTEMS WITH APPLICATIONS
- A novel random forests-based feature selection method for microarray expression data analysis
- (2015) Dengju Yao et al. International Journal of Data Mining and Bioinformatics
- Nottingham Prognostic Index Plus (NPI+): a modern clinical decision making tool in breast cancer
- (2014) E A Rakha et al. BRITISH JOURNAL OF CANCER
- Early molecular response and female sex strongly predict stable undetectable BCR-ABL1, the criteria for imatinib discontinuation in patients with CML
- (2013) S. Branford et al. BLOOD
- Biomarkers for determining the prognosis in chronic myelogenous leukemia
- (2013) Kendra Sweet et al. Journal of Hematology & Oncology
- The EUTOS prognostic score: review and validation in 1288 patients with CML treated frontline with imatinib
- (2013) V S Hoffmann et al. LEUKEMIA
- Leukemia Prediction Using Sparse Logistic Regression
- (2013) Tapio Manninen et al. PLoS One
- Acute leukemia classification by ensemble particle swarm model selection
- (2012) Hugo Jair Escalante et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Predicting relapse prior to transplantation in chronic myeloid leukemia by integrating expert knowledge and expression data
- (2012) K. Y. Yeung et al. BIOINFORMATICS
- How I treat newly diagnosed chronic phase CML
- (2012) J. Cortes et al. BLOOD
- High order interactions of xenobiotic metabolizing genes and P53 codon 72 polymorphisms in acute leukemia
- (2012) Pradeep Singh Chauhan et al. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS
- Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system models
- (2012) Jonathan M. Garibaldi et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Clinical Trials in Chronic Myeloid Leukemia
- (2012) Susanne Saussele et al. Current Hematologic Malignancy Reports
- Hammersmith score application identifies chronic myeloid leukemia patients with poor prognosis before treatment with second-generation tyrosine kinase inhibitors
- (2011) Massimo Breccia et al. AMERICAN JOURNAL OF HEMATOLOGY
- Hybrid genetic algorithm-neural network: Feature extraction for unpreprocessed microarray data
- (2011) Dong Ling Tong et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Quantum dots-based molecular classification of breast cancer by quantitative spectroanalysis of hormone receptors and HER2
- (2011) Chuang Chen et al. BIOMATERIALS
- Leveraging external knowledge on molecular interactions in classification methods for risk prediction of patients
- (2011) Christine Porzelius et al. BIOMETRICAL JOURNAL
- Predicting response in CML
- (2011) F. Guilhot et al. BLOOD
- Predicting complete cytogenetic response and subsequent progression-free survival in 2060 patients with CML on imatinib treatment: the EUTOS score
- (2011) J. Hasford et al. BLOOD
- Multiple-kernel SVM based multiple-task oriented data mining system for gene expression data analysis
- (2011) Zhenyu Chen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Predicting the Response of CML Patients to Tyrosine Kinase Inhibitor Therapy
- (2011) Deborah L. White et al. Current Hematologic Malignancy Reports
- Predictive factors for outcome and response in patients treated with second-generation tyrosine kinase inhibitors for chronic myeloid leukemia in chronic phase after imatinib failure
- (2010) E. Jabbour et al. BLOOD
- Hunting for robust gene signature from cancer profiling data: Sources of variability, different interpretations, and recent methodological developments
- (2010) Jian-zhen Xu et al. CANCER LETTERS
- A framework for microarray data-based tumor diagnostic system with improving performance incrementally
- (2010) Hualong Yu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Expert system based on neuro-fuzzy rules for diagnosis breast cancer
- (2010) Ali Keleş et al. EXPERT SYSTEMS WITH APPLICATIONS
- Colon cancer prediction with genetics profiles using evolutionary techniques
- (2010) Ashwinikumar Kulkarni et al. EXPERT SYSTEMS WITH APPLICATIONS
- Functional Activity of the OCT-1 Protein Is Predictive of Long-Term Outcome in Patients With Chronic-Phase Chronic Myeloid Leukemia Treated With Imatinib
- (2010) Deborah L. White et al. JOURNAL OF CLINICAL ONCOLOGY
- Using adaptive model predictive control to customize maintenance therapy chemotherapeutic dosing for childhood acute lymphoblastic leukemia
- (2010) Sarah L. Noble et al. JOURNAL OF THEORETICAL BIOLOGY
- Dasatinib versus Imatinib in Newly Diagnosed Chronic-Phase Chronic Myeloid Leukemia
- (2010) Hagop Kantarjian et al. NEW ENGLAND JOURNAL OF MEDICINE
- Chronic Myeloid Leukemia in the Tyrosine Kinase Inhibitor Era: What Is the “Best” Therapy?
- (2010) Meetu Agrawal et al. Current Oncology Reports
- Optimizing feature selection to improve medical diagnosis
- (2009) Ya-Ju Fan et al. ANNALS OF OPERATIONS RESEARCH
- Model of experts for decision support in the diagnosis of leukemia patients
- (2009) Juan M. Corchado et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Exploring ant-based algorithms for gene expression data analysis
- (2009) Yulan He et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- The derivation of diagnostic markers of chronic myeloid leukemia progression from microarray data
- (2009) V. G. Oehler et al. BLOOD
- Chronic myeloid leukemia (CML) with P190BCR-ABL: analysis of characteristics, outcomes, and prognostic significance
- (2009) D. Verma et al. BLOOD
- Combined PER2 and CRY1 expression predicts outcome in chronic lymphocytic leukemia
- (2009) Lewin Eisele et al. EUROPEAN JOURNAL OF HAEMATOLOGY
- Early prediction of success or failure of treatment with second-generation tyrosine kinase inhibitors in patients with chronic myeloid leukemia
- (2009) D. Milojkovic et al. HAEMATOLOGICA
- Genomic and personalized medicine: foundations and applications
- (2009) Geoffrey S. Ginsburg et al. Translational Research
- Predicting the response of CML patients to tyrosine kinase inhibitor therapy
- (2009) Deborah L. White et al. Current Hematologic Malignancy Reports
- Prognostic versus predictive value of biomarkers in oncology
- (2008) C.N.A.M. Oldenhuis et al. EUROPEAN JOURNAL OF CANCER
- The comparisons of prognostic indexes using data mining techniques and Cox regression analysis in the breast cancer data
- (2008) Mevlut Ture et al. EXPERT SYSTEMS WITH APPLICATIONS
- Classification and Diagnostic Output Prediction of Cancer Using Gene Expression Profiling and Supervised Machine Learning Algorithms
- (2008) Changkyoo Yoo et al. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
- Molecular prediction of the therapeutic response to neoadjuvant chemotherapy in breast cancer
- (2008) Koichi Nagasaki et al. Breast Cancer
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started