Abstract
In some hospitals, it is often seen that because there are more patients and fewer doctors, the attending doctor often rushes between the patient's wards to query the patient's physiological data, or the nurse is responsible for recording the patient's physiological data and reporting it to the doctor. The work is very labor-intensive, and the data seen by the doctor is not real-time data, so the judgment of the patient's condition is not real-time and effective. To this end, this paper develops a medical big data statistical management system, which collects, counts, and stores patients' medical information in the system's management database for centralized management and facilitates query. For the storage of medical big data(BD), this paper uses a distributed cache framework to store medical data information, and implements distributed data processing through the C4.5 algorithm of the decision tree(DT) algorithm. The experimental results of large-scale(LC) medical data processing based on the C4.5 algorithm are also The data processing efficiency of the algorithm is illustrated, which provides great convenience for medical data management.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.