Mining of hemophilia complications based on disease network and association rule analysis
10.7619/jcmp.20233592
- VernacularTitle:基于疾病网络的血友病并发症挖掘与关联规则分析
- Author:
Yangfang TAI
1
;
Peng ZAN
;
Guomin HUA
Author Information
1. 山西医科大学,山西 太原,030001
- Keywords:
hemophilia;
complication;
disease network;
association rule;
link prediction;
en-tity extraction
- From:
Journal of Clinical Medicine in Practice
2024;28(3):6-12
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the general rules of complications of hemophilia based on the disease network and predict the possible complications of hemophilia patients.Methods The PubMed database was searched for literature related to hemophilia.Disease entities were extracted from the ti-tles and abstracts of the literature using the MetaMap tool.A disease network was constructed based on the co-occurrence relationship of disease pairs,and the overall characteristics,node characteristics,and structural characteristics of the disease network were analyzed.The disease entity network was an-alyzed for association rules to explore the general patterns of hemophilia complications.The link pre-diction algorithm was used to predict potential complications of hemophilia.Results The association network composed of hemophilia and its complications satisfied the characteristics of small-world net-works and evenly distributed cohesive subgroups in terms of network structure.Cohesive subgroup a-nalysis showed that hemophilia complications can be divided into four categories:inherited diseases,blood system diseases,infectious diseases,and chronic diseases.Association rule analysis identified 133 rules with a confidence level ≥0.8,and link prediction further identified many well-documented disease pairs.Conclusion Based on the disease network,hemophilia complication association analy-sis and link prediction can effectively predict potential hemophilia complications,providing decision support for clinical diagnosis and treatment of hemophilia.
