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What is Breast Cancer Recurrence Prediction about?

The Wisconsin Prognostic Breast Cancer (WPBC) dataset, created by Dr. William H. Wolberg and colleagues in December 1995, contains follow-up data for 198 breast cancer cases, focusing on predicting recurrence and time to recur using various features derived from fine needle aspirate images. The dataset includes 34 attributes, with 32 real-valued features describing cell nuclei characteristics, and has been utilized in multiple publications related to breast cancer prognosis. The dataset is accessible throug

Author

roly

Language

EN