Application of Intelligent Archives Management Based on Data Mining in Hospital Archives Management

Abstract

Data mining belongs to knowledge discovery, which is the process of revealing implicit, unknown, and valuable information from a large amount of fuzzy application data. The potential information revealed by data mining can help decision makers adjust market strategies and reduce market risks. The information excavated must be real and not universally known, and it can be the discovery of a specific problem. Data mining algorithms mainly include the neural network method, decision tree method, genetic algorithm, rough set method, fuzzy set method, association rule method, and so on. Archives management, also known as archive work, is the general term for various business works, in which archives directly manage archive entities and archive information and provide utilization services. It is also the most basic part of national archives. Hospital archives are an important part of hospital management, and hospital archives are the accumulation of work experience and one of the important elements for building a modern hospital. Hospital archives are documents, work records, charts, audio recordings, videos, photos, and other types of documents, audio-visual materials, and physical materials, such as certificates, trophies, and medals obtained by hospitals, departments, and individuals. The purpose of this paper is to study the application of intelligent archives management based on data mining in hospital archives management, expecting to use the existing data mining technology to improve the current hospital archives management. This paper investigates the age and educational background of hospital archives management workers and explores the relationship between them and the quality of archives management. Based on the decision number algorithm, on the basis of the database, the hospital data is classified and analyzed, and the hospital file data is classified and processed through the decision number algorithm to improve the system data processing capability. The experimental results of this paper show that among the staff working in the archives management department of the hospital, 20-to-30-year-olds account for 46.2% of the total group. According to the data, the staff in the archives management department of the hospital also tends to be younger. Among the staff under the age of 30, the file pass rate was 98.3% and the failure rate was 1.7%. Among the staff over 50 years old, the file pass rate was 99.9% and the failure rate was 0.1%. According to the data, the job is related to the experience of the employee.

An Analysis of Archive Digitization in the Context of Big Data

“…It must also be able to synchronize electronic and conventional carrier archiving materials, issue file numbers automatically based on categorization findings, and finish the archiving process. It must be able to create and name folders automatically and level by level based on each component of the file number, categorize and store electronic files, and name electronic files with the file number [6]. e technical means provided by the third-party authority shall be used to generate the solidified information of the original text of the electronic archives at an appropriate time to provide verification channels.…”

“…e digitized archives can use big data and cloud computing technology to reasonably calculate and adjust the actual demand, quickly match the relevant resources, provide rapid feedback, and e ectively solve the problem of a "bloated library" in traditional archives management. For the archives themselves, digitization will lead to a new era by utilizing the core of big data [5,6], which lies in mining value from the massive amount of data. First, digitization has completely changed the way archives are used and greatly improved the utilization rate of archives.…”

Retracted: Application of Intelligent Archives Management Based on Data Mining in Hospital Archives Management

“…Management" [1] due to concerns that the peer review process has been compromised. Following an investigation conducted by the Hindawi Research Integrity team [2], signifcant concerns were identifed with the peer reviewers assigned to this article; the investigation has concluded that the peer review process was compromised.…”

Effectiveness of Archive Arrangement in the Barru Regency Regent's Office

“…Archive management is one of the archive processing activities carried out within the agency, (J. Li, 2022;Odhiambo, 2018). Archives must be arranged so that stored records can be easily found again when they are needed.…”