Time-to-Recur Measurements in Breast Cancer Microscopic Disease Instances |
|---|
| Ioannis Anagnostopoulos, Ilias Maglogiannis, Christos Anagnostopoulos, Konstantinos Makris, Eleftherios Kayafas, Vassili Loumos |
- Abstract:
- In this paper we present an overview of survival curves measurements using the Kaplan-Meier approximation method. The survival curves were constructed upon the decision of an artificial neural network, which estimates the time-to-recur (TTR) in patients who presented malignant breast tumours with no evidence of distant metastases at the time of diagnosis. For our work we used the Wisconsin Prognostic Breast Cancer (WPBC) data set. The measurements taken over actual data evaluated that the accuracy of our proposed decision system is in high levels and can be used for the breast cancer prognosis problem.
- Download:
- IMEKO-TC4-2005-055.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC4
- Event name:
- TC4 Workshop 2005
- Title:
10th IMEKO TC4 International Workshop on ADC Modelling and Testing - IWADC (together with XIVth IMEKO TC4 International Symposium on New Technologies in Measurement and Instrumentation)
- Place:
- Gdynia/Jurata, POLAND
- Time:
- 12 September 2005 - 15 September 2005