The Studies Based on the Application of Predictive Analytics Models

The application of predictive analytics models is becoming increasingly prevalent across a range of industries, with relevance extending to numerous sectors. From finance to healthcare to transportation and beyond, the use of predictive analytics is generating significant value. The integration of artificial intelligence techniques, including machine learning (ML), deep learning, and neural networks, has further advanced the capabilities of predictive analytics. In the context of the widespread use of research or work more efficiently, this paper shows that predictive analytics models have significant advantages in weather forecasting, financial analysis, and supply chains. To improve decision-making efficiency, and optimize resource allocation and risk management, this paper systematically reviews and sorts out the papers and research based on predictive analytics models, and deeply excavates the relevance of different models through the analysis of multiple literatures, to help people better choose appropriate models in corresponding scenarios and clarify the role of these models in different industries.