beng 420 project, prostate cancer
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Prostate ClassificationMatthew Dunning
OutlineIntroductionSignificance of ClassificationPrevious ResultsMethodsResultsConclusions
Prostate CancerOne in every seven men will be diagnosed with Prostate CancerEvery 6 out of ten men above the age of 65 are diagnosed with proste cancerOne out of every 1 in 38 men will die from prostate cancerAbout 27,540 die annually from prostate cancer
Current Detection Methods
Digital Rectal ExamDoctor inserts finger and checks for bumps or hard areas on prostate
Prostate Specific Antigen blood testSmall amount can be found in bloodif PSA level is above 4 ng/ml, the chance of prostate cancer goes up.
Previous AlgorithmZlotta:
ANN - Classify when prostate cancer antigen is less than 10gSample Size was 200
The classification accuracy of the ANN was 92.7%.
Data (10 of 97)
MethodsThe size of dataset was 9710 different attributes/featuresK = 20;First 75 patients were used for training, the other 22 were used for testing (for both ANN and KNN). Labels:
ANN - T,F - True (if patient had cancer) otherwise FalseKNN - 1,2 - 1 = True, 2 = False
Results - Ann (Training)
Results - Ann (Testing)
ANN ConclusionTo ensure error, the ANN was ran 10 times for both the Training and the Testing Data.For the Training Data the percent classification was 99.5%For the Testing Data the percent classification was 81.04%
KNN Results (% Error)
Knn Results (% Classification)
KNN conclusionsIn conclusion from both figures, the optimal k value for this dataset was at k = 1, 19 or 20.Each value provided a percent classification of approximately 77%.
ConclusionANN is a better choice to use for this dataset because of its high % classification. All features could be used for classification in a clinical setting. However, further studies should be done using my code with a larger dataset to ensure accuracy.
References
1)http://www.cancer.org/cancer/prostatecancer/detailedguide/prostate-cancer- key-statistics.[Accessed: 29-Sep-2015].
2)http://www.cancer.org/cancer/prostatecancer/moreinformation/prostatecancerearlydetection/prostate-cancer-early-detection-tests