Artificial Intelligence Techniques for the wireless wearable Smart Healthcare Prediction System Applications

The use of AI technology is crucial for creating efficient healthcare apps. The development of the healthcare prediction process can be aided by the specification of numerous efficient software programmers. When creating intelligent healthcare applications, machine learning and cloud computing are crucial components. Various health care data can be gathered and analyzed to help with timely answers. In the process of identifying and forecasting diseases, AI is also very important. This efficient intelligent method can aid in the precise disease detection. Utilizing AI and ML Techniques to Transform the Healthcare System. Artificial intelligence (AI) has quickly advanced in the present in terms of the demands of computerised methodology, hardware implementations, and approaches in many fields.The Wireless wearable sensors can be used to monitor each person's behaviour. Through the use of neural networks, body sensors can assist in the detection of motions and facial expressions. It also includes a variety of technological advancements that are used to develop the computing and data mining processes. This study primarily examines how well different effective technologies perform when used to create healthcare prediction systems. AI makes use of many sensors to increase the effectiveness of healthcare. The health care system is significantly impacted by another research theme. Machine learning can assist in supplying modeling techniques to ascertain the biomedical products' flaws. Wireless sensors offer the ability to monitor behavior by gathering up-to-date environmental information