Data Mining and Processing in the Age of Big Data and Artificial Intelligence - Issues, Privacy, and Ethical Considerations

The integration of big data and AI, which is at present a most crucial development in data mining and processing, can be regarded as the beginning of a new era in the field of science and technology. The research primarily focuses on using ML and data mining methods to forecast cardiac diseases. It also identifies the most efficient and effective approaches for managing enormous datasets and producing accurate forecasts. The results show that LightGBM comes in second with 93.8% accuracy and AdaBoost with 95.2% accuracy. The accuracy rates of other models, such KNN and Naive Bayes, are 88.52% and 90.56%, respectively. These results highlight how sophisticated machine learning algorithms might improve a predicted accuracy of heart disease diagnosis. The paper underscores the necessity of safeguarding data and the importance of stakeholder collaboration to ensure that the advancements in big data and AI are equitable, sustainable, and centred around human well-being.