Predicting breast cancer survivability: a comparison of three data mining methods.
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Predicting IQ change from brain structure: a cross-validation studyMining electronic health records: towards better research applications and clinical careComplementarity of Clinician Judgment and Evidence Based Models in Medical Decision Making: Antecedents, Prospects, and ChallengesPredicting rotator cuff tears using data mining and Bayesian likelihood ratiosRough set theory based prognostic classification models for hospice referralUsing methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes.Breast cancer survivability prediction using labeled, unlabeled, and pseudo-labeled patient dataPrediction of survival in thyroid cancer using data mining technique.An improved survivability prognosis of breast cancer by using sampling and feature selection technique to solve imbalanced patient classification dataModel Comparison for Breast Cancer Prognosis Based on Clinical Data.Rapid evaluation of human biomonitoring data using pattern recognition systems.Creation of a retrospective searchable neuropathologic database from print archives at Toronto's University Health Network.An unsupervised partition method based on association delineated revised mutual information.Improving Gastric Cancer Outcome Prediction Using Single Time-Point Artificial Neural Network Models.A new approach: role of data mining in prediction of survival of burn patients.A software tool for determination of breast cancer treatment methods using data mining approach.Diagnostic assessment by dynamic contrast-enhanced and diffusion-weighted magnetic resonance in differentiation of breast lesions under different imaging protocolsPrediction of malignant breast lesions from MRI features: a comparison of artificial neural network and logistic regression techniques.Predicting congenital heart defects: A comparison of three data mining methods.Quad-phased data mining modeling for dementia diagnosisA Bayesian network and heuristic approach for systematic characterization of radiotherapy receipt after breast-conservation surgeryA coupling approach of a predictor and a descriptor for breast cancer prognosisA Comparison of Intensive Care Unit Mortality Prediction Models through the Use of Data Mining TechniquesWhich is a more accurate predictor in colorectal survival analysis? Nine data mining algorithms vs. the TNM staging systemApplying data mining techniques to improve diagnosis in neonatal jaundice.Gene expression profiling of breast cancer survivability by pooled cDNA microarray analysis using logistic regression, artificial neural networks and decision treesMachine learning applications in cancer prognosis and predictionDiscovery of diagnosis pattern of coronary heart disease with qi deficiency syndrome by the T-test-based adaboost algorithm.Crop classification by forward neural network with adaptive chaotic particle swarm optimization.Early prediction of the response of breast tumors to neoadjuvant chemotherapy using quantitative MRI and machine learningData mining and medical world: breast cancers' diagnosis, treatment, prognosis and challenges.Computational modeling and multilevel cancer control interventions.Prediction of breast cancer survival through knowledge discovery in databases.Comparison of the predictive qualities of three prognostic models of colorectal cancerMachine learning for predicting the response of breast cancer to neoadjuvant chemotherapy.Genetic signatures of heroin addiction.Applications of machine learning in cancer prediction and prognosisIntelligent framework for diagnosis of frozen shoulder using cross sectional survey and case studies.A classification framework applied to cancer gene expression profiles.Feature selection through validation and un-censoring of endovascular repair survival data for predicting the risk of re-intervention.
P2860
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P2860
Predicting breast cancer survivability: a comparison of three data mining methods.
description
2005 nî lūn-bûn
@nan
2005 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Predicting breast cancer survivability: a comparison of three data mining methods.
@ast
Predicting breast cancer survivability: a comparison of three data mining methods.
@en
type
label
Predicting breast cancer survivability: a comparison of three data mining methods.
@ast
Predicting breast cancer survivability: a comparison of three data mining methods.
@en
prefLabel
Predicting breast cancer survivability: a comparison of three data mining methods.
@ast
Predicting breast cancer survivability: a comparison of three data mining methods.
@en
P1476
Predicting breast cancer survivability: a comparison of three data mining methods.
@en
P2093
Amit Kadam
Glenn Walker
P304
P356
10.1016/J.ARTMED.2004.07.002
P50
P577
2005-06-01T00:00:00Z