Objective To explore the application of effective strong association rule analysis based on FP-Growth algorithm in the diagnosis and treatment management for cancer patients.Methods FP-Growth algorithm function was added to the existing Internet medical service platform and electronic medical record system.The FP-Growth algo-rithm was used to mine the effective strong association rules between the baseline data of 2 075 patients in the tumor ra-diation therapy center of the sample hospital from December 2017 to December 2021 and the patients in high-risk groups,and the rules were applied to the tumor radiation therapy center.Results FP-Growth algorithm provided 15 effective strong association rules,including 10 for all the patients,5 for the high-risk groups.Based on the feedback results,the treatment plan of the patients in the tumor radiation therapy center was adjusted.Conclusion The Inter-net medical service platform with the function of FP-Growth algorithm has clinical application value.
FP-Growth AlgorithmEffective Strong Association RuleInternet Medical CareTumor PatientsDiag-nosis and Treatment Management
NETL
NSTL
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