Research and Application of Artificial Intelligence and Computer Big Data Technology in the Individualized Nursing Care Platform

Based on the DINO model, this article develops a separate multi-level scoring cognitive diagnosis model (P-DINO model) and uses a combination of Monte Carlo simulation and empirical research to discuss the performance and effectiveness of the new model. At the same time, we design a depression detection software based on voice signals, including an analysis system based on deep learning and user terminal software based on the iOS platform, to provide a new way for early screening of depression and to reduce depression detection to a certain extent the cost of. The results show that in the evaluation of depressive symptoms, the performance of the P-DINO model is better than that of the DINO model and the traditional evaluation of depressive symptoms.