The scale and complexity of health information service system has increased dramatically, and its development activities and management are difficult to control. In the field of, Traditional methods and simple mathematical statistics methods are difficult to solve the problems caused by the explosive growth of data and information, which will adversely affect health information service system management finally. So, it is particularly important to find valuable information from the source code, design documents and collected software datasets and to guide the development and maintenance of software engineering. Therefore, some experts and scholars want to use mature data mining technologies to study the large amount of data generated in software engineering projects (commonly referred to as software knowledge base), and further explore the potential and valuable information inherently hidden behind the software data. This article initially gives a brief overview of the relevant knowledge of data mining technology and computer software technology, using decision tree graph mining algorithm to mine the function adjustment graph of the software system definition class, and then source code annotations are added to the relevant calling relationships. Data mining technology and computer software technology are deeply integrated, and the decision tree algorithm in data mining is used to mine the knowledge base of computer software. Potential defect changes are listed as key maintenance objects. The historical versions of source code change files with defects are found dynamically and corrected in time, to avoid the increase of maintenance cost in the future.
In order to simplify the procedure of objective evaluation of martial arts athletes’ physical fitness, and to combine the software information technology to evaluate the physical function indexes of martial arts athletes, this paper develops the “martial arts athletes’ physical fitness test evaluation system” according to the physique characteristics of martial arts athletes. The research process is divided into the following three steps. First, through the literature method, expert survey method and other methods, the relevant indicators for evaluating the physique of martial arts athletes are selected. Second, according to the athlete’s athletic ability, the three levels of “high-level, intermediate, junior” martial arts athletes were selected as the survey objects. The physical fitness data of the respondent was measured using a physical test instrument. Through the principal component analysis method, the sample data was analyzed, and five indicators including “hip circumference”, “in situ vertical jump”, “systolic pressure”, “thigh circumference” and “standing position flexion” were selected as key evaluation indicators. Third, using MySQL (Relational Database Management System) database platform and JAVA technology, based on the characteristics of B/S and C/S mode, developed a “B/S, C/S” mixed mode “Martial arts athletes’ physical fitness test evaluation system”. The “martial arts athletes’ physical fitness test evaluation system” designed in this paper can not only make a comprehensive evaluation of the physique level of martial arts athletes, but also make a general evaluation of the physique level of martial arts athletes. The software system is targeted and practical, can help the testing and management of martial arts athletes’ physical fitness, and can provide reference value and promotion significance for athletes’ physical fitness monitoring work.
The progress of social economy has created a better environment for the healthy development of young people, but the heavy schoolwork and life pressure have caused many students to ignore the scientific management of physical health. At this stage, people need a scientific physical health service system to help students understand their own health data, propose targeted exercise methods and health knowledge, and actively encourage and guide students to participate in physical exercise. The purpose of this article is to cultivate students’ good self-exercise awareness and improve their physical fitness and health. To this end, this article has designed a smart health service system for young people. This article introduces the various service functions in the health management service system and explains in detail the entry, induction, and analysis of student physical health data in the system. The essence of the health intelligent service system is to provide students with targeted healthy exercise strategies through data analysis. This paper studies the health intervention plan of the health intelligent service system. From the experimental data, the improved particle swarm algorithm in this paper increases the effectiveness of the system in adolescent health data mining from 80.5% to 92.19%, which undoubtedly optimizes the system. It helps a lot.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.