C4.5: programs for machine learning
C4.5: programs for machine learning
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Machine Learning
Modeling medical prognosis: survival analysis techniques
Computers and Biomedical Research
A study of cross-validation and bootstrap for accuracy estimation and model selection
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Integrating classification trees with local logistic regression in Intensive Care prognosis
Artificial Intelligence in Medicine
An evolutionary artificial neural networks approach for breast cancer diagnosis
Artificial Intelligence in Medicine
Uniqueness of medical data mining
Artificial Intelligence in Medicine
Confidentiality issues for medical data miners
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
A combined neural network and decision trees model for prognosis of breast cancer relapse
Artificial Intelligence in Medicine
Data mining for indicators of early mortality in a database of clinical records
Artificial Intelligence in Medicine
Expert Systems with Applications: An International Journal
Computers in Biology and Medicine
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Predicting Metastasis in Breast Cancer: Comparing a Decision Tree with Domain Experts
Journal of Medical Systems
Computers in Biology and Medicine
Overnight features of transcutaneous carbon dioxide measurement as predictors of metabolic status
Artificial Intelligence in Medicine
CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
Predictive factors of glycemic control: a comparison of decision tree and neural networks
ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
Design of a hybrid system for the diabetes and heart diseases
Expert Systems with Applications: An International Journal
Computer Methods and Programs in Biomedicine
Breast cancer survivability via AdaBoost algorithms
HDKM '08 Proceedings of the second Australasian workshop on Health data and knowledge management - Volume 80
Dynamic Bayesian networks as prognostic models for clinical patient management
Journal of Biomedical Informatics
Mining lung cancer patient data to assess healthcare resource utilization
Expert Systems with Applications: An International Journal
A Study on Chronic Obstructive Pulmonary Disease Diagnosis Using Multilayer Neural Networks
Journal of Medical Systems
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
A comparative study on thyroid disease diagnosis using neural networks
Expert Systems with Applications: An International Journal
Review: Neural networks and statistical techniques: A review of applications
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Analysis of healthcare coverage: A data mining approach
Expert Systems with Applications: An International Journal
Sequential association rules for forecasting failure patterns of aircrafts in Korean airforce
Expert Systems with Applications: An International Journal
A comparative study on diabetes disease diagnosis using neural networks
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Artificial Intelligence in Medicine
When a decision tree learner has plenty of time
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Toward breast cancer survivability prediction models through improving training space
Expert Systems with Applications: An International Journal
Interactive survival analysis with the OCDM system: From development to application
Information Systems Frontiers
Predicting the outcome of patients with subarachnoid hemorrhage using machine learning techniques
IEEE Transactions on Information Technology in Biomedicine - Special section on computational intelligence in medical systems
Impact of censoring on learning Bayesian networks in survival modelling
Artificial Intelligence in Medicine
A survey of prediction models for breast cancer survivability
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Comparing classification techniques for predicting essential hypertension
Expert Systems with Applications: An International Journal
Automated trend analysis of proteomics data using an intelligent data mining architecture
Expert Systems with Applications: An International Journal
Artificial Intelligence in Medicine
Learning Bayesian networks from survival data using weighting censored instances
Journal of Biomedical Informatics
Chest diseases diagnosis using artificial neural networks
Expert Systems with Applications: An International Journal
Hybrid prediction model for Type-2 diabetic patients
Expert Systems with Applications: An International Journal
A comparative analysis of machine learning techniques for student retention management
Decision Support Systems
International Journal of Computational Intelligence Studies
A hybrid prediction model with F-score feature selection for type II Diabetes databases
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India
Neural Network Classifier with Entropy Based Feature Selection on Breast Cancer Diagnosis
Journal of Medical Systems
Engineering Applications of Artificial Intelligence
Comparing the performance of data mining techniques for oral cancer prediction
Proceedings of the 2011 International Conference on Communication, Computing & Security
Developing treatment plan support in outpatient health care delivery with decision trees technique
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Cost-sensitive case-based reasoning using a genetic algorithm: Application to medical diagnosis
Artificial Intelligence in Medicine
A novel distance measure for data vectors with nominal feature values
ECS'10/ECCTD'10/ECCOM'10/ECCS'10 Proceedings of the European conference of systems, and European conference of circuits technology and devices, and European conference of communications, and European conference on Computer science
Computers and Industrial Engineering
Artificial Intelligence in Medicine
Tuberculosis Disease Diagnosis Using Artificial Neural Network Trained with Genetic Algorithm
Journal of Medical Systems
A lung cancer outcome calculator using ensemble data mining on SEER data
Proceedings of the Tenth International Workshop on Data Mining in Bioinformatics
Classification of pulmonary nodules using neural network ensemble
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
A New Approach: Role of Data Mining in Prediction of Survival of Burn Patients
Journal of Medical Systems
A Software Tool for Determination of Breast Cancer Treatment Methods Using Data Mining Approach
Journal of Medical Systems
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
A comparative study on machine learning techniques for prediction of success of dental implants
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
An approach based on probabilistic neural network for diagnosis of Mesothelioma's disease
Computers and Electrical Engineering
Uncensoring censored data for machine learning: A likelihood-based approach
Expert Systems with Applications: An International Journal
A data pre-processing method to increase efficiency and accuracy in data mining
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Artificial Intelligence in Medicine
Intelligent DSS for talent management: a proposed architecture using knowledge discovery approach
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Diagnosing Breast Masses in Digital Mammography Using Feature Selection and Ensemble Methods
Journal of Medical Systems
Efficient classifiers for multi-class classification problems
Decision Support Systems
Breast Alert: An On-line Tool for Predicting the Lifetime Risk of Women Breast Cancer
Journal of Medical Systems
A Study on Hepatitis Disease Diagnosis Using Probabilistic Neural Network
Journal of Medical Systems
An expert system for optimising thyroid disease diagnosis
International Journal of Computational Science and Engineering
Computer Methods and Programs in Biomedicine
LSMS'07 Proceedings of the 2007 international conference on Life System Modeling and Simulation
wFDT: weighted fuzzy decision trees for prognosis of breast cancer survivability
AusDM '08 Proceedings of the 7th Australasian Data Mining Conference - Volume 87
Computers in Biology and Medicine
Robust predictive model for evaluating breast cancer survivability
Engineering Applications of Artificial Intelligence
A hybrid intelligent system for medical data classification
Expert Systems with Applications: An International Journal
Review: Knowledge discovery in medicine: Current issue and future trend
Expert Systems with Applications: An International Journal
Lung cancer survival prediction using ensemble data mining on SEER data
Scientific Programming - Biological Knowledge Discovery and Data Mining
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - FUZZYSS'2011: 2nd International Fuzzy Systems Symposium
Hi-index | 0.03 |
Objective:: The prediction of breast cancer survivability has been a challenging research problem for many researchers. Since the early dates of the related research, much advancement has been recorded in several related fields. For instance, thanks to innovative biomedical technologies, better explanatory prognostic factors are being measured and recorded; thanks to low cost computer hardware and software technologies, high volume better quality data is being collected and stored automatically; and finally thanks to better analytical methods, those voluminous data is being processed effectively and efficiently. Therefore, the main objective of this manuscript is to report on a research project where we took advantage of those available technological advancements to develop prediction models for breast cancer survivability. Methods and material:: We used two popular data mining algorithms (artificial neural networks and decision trees) along with a most commonly used statistical method (logistic regression) to develop the prediction models using a large dataset (more than 200,000 cases). We also used 10-fold cross-validation methods to measure the unbiased estimate of the three prediction models for performance comparison purposes. Results:: The results indicated that the decision tree (C5) is the best predictor with 93.6% accuracy on the holdout sample (this prediction accuracy is better than any reported in the literature), artificial neural networks came out to be the second with 91.2% accuracy and the logistic regression models came out to be the worst of the three with 89.2% accuracy. Conclusion:: The comparative study of multiple prediction models for breast cancer survivability using a large dataset along with a 10-fold cross-validation provided us with an insight into the relative prediction ability of different data mining methods. Using sensitivity analysis on neural network models provided us with the prioritized importance of the prognostic factors used in the study.