System for identifying causes of fever of unknown origin of children

Abstract

The invention belongs to the technical field of medical treatment, and particularly discloses a system for identifying causes of fever of unknown origin of children. The system comprises a data acquisition module which is used for acquiring demographic index data and examination item index data of a sample; a data processing module used for receiving the data information acquired by the data acquisition module, preprocessing the data and then performing single-factor analysis on the preprocessed data; a risk factor acquisition module used for receiving the data subjected to single-factor analysis, performing regression analysis on the data and screening risk factors in the data; and an identification module internally provided with a neural network model, wherein the neural network model receives and analyzes the risk factor data and identifies the diagnosis direction of the causes of fever in children. According to the technical scheme, through cooperation of all the modules, collection and screening of sample information are achieved, and the diagnosis direction of causes of fever in children is identified according to the collected information.

Description

technical field [0001] The invention belongs to the field of medical technology, and relates to a system for identifying the etiology of children's fever to be investigated. Background technique [0002] Fever is one of the more common clinical symptoms in children. Children's disease manifestations are often atypical. Therefore, children with a long medical history and unclear diagnosis are common in pediatric wards, especially those with fever of unknown origin (fever of unknown origin, FUO). Children with FUO refer to fever that lasts for more than 2 weeks, with a body temperature above 37.5°C. After routine examination and treatment, the body temperature still cannot return to normal, and the diagnosis cannot be made clearly. The effectiveness of empiric treatment for these children is low, and it is easy to delay the disease due to untimely treatment or increase the family burden due to excessive medical treatment. Therefore, a clear diagnosis for these children is par...

AI Technical Summary

Problems solved by technology

However, children with FUO need to go through a complicated diagnosis process to determine the direction of etiological diagnosis, and then the specific etiology can be determined. The hospitalization time is long and the cost is high, which increases the burden on the patient's family and is not conducive to follow-up treatment.

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