Advance cataloguing method for breast cancer detection
Keywords:
Machine learning, Feature selection, Classification, Prediction, Breast cancerAbstract
This Data mining is a technique for extracting useful information from large amounts of data. In large databases, enormous patterns may be examined and evaluated utilizing statistics and artificial intelligence. Data mining can be used to anticipate future trends or uncover hidden patterns. Classification, clustering, association rules, regression, and outlier identification are examples of data mining techniques. The data mining technology is receiving a lot of traction in the healthcare industry. In the discipline of bioinformatics, several researchers are using data mining techniques. Bioinformatics is the science of storing, retrieving, organizing, interpreting, and exploiting data from biological sequences and molecules. A prediction is a statement regarding a future event based on the current condition. The major intend of this work is to predict the microarray cancer using machine learning (ML) algorithms. Different phases are comprised in the prediction of microarray cancer. This research makes the implementation of voting-based classification algorithm. The suggested algorithm assists in optimizing the performance up to 2% while predicting the microarray cancer.
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