The Wisconsin breast cancer problem: Diagnosis and TTR/DFS time prognosis using probabilistic and generalised regression information classifiers-Reference-Cited by-同舟云学术

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The Wisconsin breast cancer problem: Diagnosis and TTR/DFS time prognosis using probabilistic and generalised regression information classifiers

Published:2006-04-01 Issue: Volume: Page:
ISSN:1021-335X
Container-title:Oncology Reports
language:
Short-container-title:Oncol Rep

Author:

Anagnostopoulos Ioannis,Anagnostopoulos Christos,Vergados Dimitrios,Rouskas Angelos,Kormentzas George

Publisher

Spandidos Publications

Subject

Cancer Research,Oncology,General Medicine

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Personalized Medical Decision Support System Based on Explainable Machine Learning Algorithms and ECC Features: Data from the Real World;Diagnostics;2021-09-14

2. A novel case-based reasoning system for breast cancer diagnosis: considering the effects of external characteristics of cases (Preprint);2021-07-21

3. Predicting breast cancer survivability based on machine learning and features selection algorithms: a comparative study;Journal of Ambient Intelligence and Humanized Computing;2020-10-22

4. Novel Mathematical Model of Breast Cancer Diagnostics Using an Associative Pattern Classification;Diagnostics;2020-03-01

5. Prediction of 10-year Overall Survival in Patients with Operable Cervical Cancer using a Probabilistic Neural Network;Journal of Cancer;2019

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