Schizophrenia hospitalizations - a big data approach

Model innovation of students' mental health education from the perspective of big data

To improve the effect of college students' mental health education, and to meet the needs of mental health education data processing, this article combines big data technology and gene regulation ideas to propose a mental health education data processing algorithm based on big data technology and immunotherapy gene regulation network. Moreover, this article uses improved algorithms to extract features from mental health education network data, controls the problems in mental health education in real‐time, and proposes targeted improvement strategies. In addition, this article combines the improved algorithm to construct a mental health education system based on big data technology and immunotherapy gene regulation network are combined for an improved algorithm to process mental health education data. Finally, this article verifies the effectiveness of the system through experimental research.

Research on intelligent analysis strategies to improve athletes' psychological experience in the era of artificial intelligence

In order to improve the psychological quality of athletes, this paper combines artificial intelligence technology to quantitatively analyze the psychological experience of athletes. Moreover, in view of the insufficiency of the ASI method to standardize the data, this study proposes to use the normalization method for processing. In addition, in order to verify the feasibility and effectiveness of the research and development of the multi-dimensional dual-objective CD-CAT topic selection strategy, this paper adopts the Monte Carlo simulation experiment method to analyze the data. Finally, this paper constructs an analysis system of athlete's psychological experience and intelligent decision-making based on artificial intelligence. The experimental data analysis results show that the intelligent decision-making system based on artificial intelligence for athletes' psychological experience proposed in this paper has a good effect and can effectively promote the psychological training effect of athletes.

Online music-assisted rehabilitation system for depressed people based on deep learning

The processing of negative emotions is closely related to the occurrence of depression, and improving the mood of patients with depression has an important effect on improving symptoms. This article applies deep learning to the diagnosis and treatment of depression patients, combined with music-assisted rehabilitation to help depression patients recover. Moreover, this paper strengthens deep learning, combines the psychological characteristics of depression to improve the algorithm, and analyzes the algorithm with music-assisted rehabilitation, and obtains an intelligent algorithm that can be applied to the music-assisted rehabilitation system. Finally, this paper constructs an online music-assisted rehabilitation system for depression based on deep learning. The results of the experimental research show that the online music-assisted rehabilitation system for depression based on deep learning can play an important role in the treatment of depression.

Improvement of Student Weariness Emotion in English Classroom Based on Intelligent Internet of Things and Big Data Technology

In order to improve the recognition effect of student weariness emotion in English classroom, this paper combines intelligent Internet of Things technology and big data technology to construct an improvement model of student weariness emotion in English classroom. In the process of student facial expression recognition, according to the given grayscale threshold, this paper extracts the surface contour information from the three-dimensional volume data, extracts the student's surface contour information, and uses triangular facets to fit to form a triangular mesh. Moreover, this paper renders a triangular mesh model and shows how to speed up the calculation of PFH. In addition, this paper proposes a Fast Point Feature Histogram, which uses an iterative closest point fine registration algorithm for image registration. Finally, this paper constructs an emotion recognition model of students' weariness in English classroom. From the test results, it can be seen that the student weariness emotion recognition system in English classroom proposed in this paper can effectively identify students' weariness emotion.