ABSTRACT
Objective:To analyze the current situation of falls in elderly patients with infirmity, and find out the related risk factors of injuries caused by falls, so as to provide reference for avoiding or reducing the injuries caused by falls in elderly patients with infirmity during hospitalization.Methods:Using the method of data mining, this paper analyzed the data of 56 elderly patients with falls reported by a tertiary hospital in Liaoning Province from January 1, 2017 to April 30, 2020. Through the Apriori algorithm for association analysis, using chi square test for effectiveness evaluation, and then according to the relevant professional knowledge for analysis.Results:Finally obtained six strong association rules with the elderly infirmity inpatients fall injury, which were poor sleep quality, poor activity ability, taking fall prone drugs, falling state for displacement, suffering from cerebrovascular disease, self-care ability was limited.Conclusion:Association analysis can be used to mine valuable association rules of fall injury in elderly patients, and attach importance to its strong association rules, so as to provide clinical intervention basis for preventing or reducing fall injury in elderly patients.
ABSTRACT
With the rapid development of medical technology , the precision medicine appears .The accurate analysis of the genetic mutations provides the accuracy of diseasesis prediction diagnosis and targeted therapy.Alzheimer′s disease and Parkinson′s disease are two of the most common neurodegenerative diseases.
