IMPLEMENTATION AND APPLICATIONS OF DATA MINING IN MEDICAL DECISION MAKING PREDICTIONS
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Abstract
Data mining is the process of discovering patterns and trends from the huge amount of data. This research studied the various existing techniques of data mining. For reviewing different mining techniques, the research progressed to analyze the advantages and limitations of each technique. Machine learning based on the clustering technique has been applied in the context of Medical Data Mining. This process involves the exploration of the Medical dataset to discover interesting patterns in the decision-making process. The issue in exploring the Medical dataset is that the data produced by any healthcare organization is huge and complex which increases the complexity of mining. This research aimed to collect the dataset of breast cancer for medical decision making that was carried out using the clustering and data mining techniques. The results show that clustering can be a better technique to group the patients based on their disease and other parameter required to diagnose cancer.
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