Predictive Analytics in Healthcare: AI-Driven and IoT Approaches for Smarter Decision-Making

Leukemia is a type of cancer in which a significant number of immature lymphocytes grow quickly, affecting the creation of other vital blood cells. The Complete Blood Count (CBC) test is a widely used diagnostic tool for detecting leukemia. This condition can be identified through CBC results, which may show either an excessive increase or a significant reduction in certain blood cell types. Although leukemia is diagnosed in children approximately 80% of the time, it can also be a serious health concern in adults. Thus, it is essential to detect leukemia early in order to save lives. Computer technologies can help diagnose leukemia more quickly. Following that, a number of machine learning classification techniques, were developed and assessed using the features. By evaluating its performance against a number of performance metrics, including accuracy and precision, the most effective classification algorithm could be identified.