This paper introduces computer-aided diagnosis, association rules and its application in the medical field, and proposes an improved Apriori algorithm ...
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This paper introduces computer-aided diagnosis, association rules and its application in the medical field, and proposes an improved Apriori algorithm ...
Implementing automated diagnostic systems for breast cancer detection ... Automatic breast cancer detection using HGMMEM algorithm with DELMA classification.
Wen-Jing Zhang, Dong-Lai Ma, Bin Dong: The automatic diagnosis system of breast cancer based on the improved Apriori algorithm. ICMLC 2012: 63-66.
The automatic diagnosis system of breast cancer based on the improved Apriori algorithm ... Apriori algorithm combined with the characteristics of breast cancer ...
This paper presents an automatic diagnosis system for detecting breast cancer based on association rules (AR) and neural network (NN).
This paper presents an automatic diagnosis system for predicting breast cancer based on association rules (AR) and neural network (NN). In this study, AR1 ...
Jul 15, 2022 · They found out that rank-based stochastic process is the best-suited algorithm, obtaining an accuracy, sensibility, and specificity of 94.0%, ...
An expert system for detection of breast cancer based on association rules and neural network.
Missing: improved | Show results with:improved
Apr 5, 2024 · The SVM was the most efficient classifier in the diagnosis of breast cancer based on the outcomes, showcasing an ultimate accuracy of 96.84%, ...
View A Therapy For Metastatic Breast Cancer. Visit Official Patient Site. Study Results.