Medical Intelligent System Application in Schizophrenia Treatment Satisfaction Based on Neural Networks

Abstract

Abstract Aiming at the problems of poor convergence and uneven energy consumption of heed routing protocol, this paper proposes an opfh routing protocol based on options clustering algorithm for the first time. Firstly, the protocol divides the network into several top-level groups by using options clustering algorithm, then elects each top-level group at the same time, and designs and develops the medical intelligent system through wireless sensor. The medical intelligence system developed in this paper mainly includes the patient end associated with the WeChat official account, an intelligent voice phone that supplements and enhances patient care services, and an information management platform for handling aftercare services. Follow up service is mainly supplemented by the follow-up procedure and linked to the official WeChat official account. The follow-up medical intelligent system and intelligent voice telephone have replaced the traditional way of follow-up, which not only facilitates the completion of rehabilitation work, but also facilitates the management of hospital rehabilitation, and greatly reduces the manpower and material resources. It plays an important role in the treatment of schizophrenia. However, patients with schizophrenia have high inner sensitivity, often accompanied by anxiety and depression. Nurses need to take the initiative to communicate with patients, understand and meet the needs of patients, and use the system to manage the negative emotions of patients, so as to improve the confidence and compliance of patients. In order to improve the treatment satisfaction of patients, the large-scale data set without marked target task was used for domain transfer learning of small-scale data set. In this paper, the research of wireless sensor is applied to medical intelligent system, so as to promote the vigorous development of medical intelligent system.