A breast cancer diagnosis system: a combined approach using rough sets and probabilistic neural networks. in: EUROCON 2005: the International Conference on " ...
Preliminary results indicate that the both rough sets and PNN machine learning approaches can be successfully applied synergistically to biomedical datasets ...
In this paper, we present a medical decision support system based on a hybrid approach utilizing rough sets and a probabilistic neural network.
Rough Set Theory and Decision Rules in Data Analysis of Breast Cancer ...
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In this paper an approach based on the rough set theory and induction of decision rules is applied to analyse relationships between condition attributes ...
This is one of the first studies using Rough Set theory for early prediction and diagnosis of breast cancer according to the High Risk Status attribute.
Mar 30, 2023 · The main aim is to predict cancerous breast nodules, using rough set driven feature selection and machine learning classification algorithms.
Oct 22, 2024 · validated using empirical testing at 100%. Keywords: rough set theory; breast cancer; biomedical engineering; decision. support systems.
Aug 6, 2024 · In the first phase of the analysis, the rough sets based approach is applied to determine attribute importance for the patients' classification.
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Mar 11, 2021 · Personalized treatment strategies are critical for the outcomes improvement of BC patients and the Clinical Decision Support Systems can have an ...
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The model was tested for detection of patients with hepatitis, dermatology conditions, hepatic disease, and autism, and based on the performance measures ...