ArticleBioMed research international2022
Connections between Various Disorders: Combination Pattern Mining Using Apriori Algorithm Based on Diagnosis Information from Electronic Medical Records.
Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Advanced applications in chronic disease monitoring using IoT mobile sensing device data, machine learning algorithms and frame theory: a systematic review.Frontiers in public health · 2025Pooled it
- Analysis of comorbidity patterns of pregnancy and delivery complications in the female population.Frontiers in global women's health · 2026Article
- Association rule mining and network analysis of the evolving comorbidity patterns in HIV inpatients in Baise, China.Frontiers in public health · 2026Article
- Electronic Health Records: A Gateway to AI-Driven Multimorbidity Solutions-A Comprehensive Systematic Review.Journal of clinical medicine · 2025Review
- Discovering sequential patterns and interrelations among multiple diseases in electronic medical records using cSPADE algorithm.Archives of public health = Archives belges de sante publique · 2025Article
- Data Mining of Infertility and Factors Influencing Its Development: A Finding From a Prospective Cohort Study of RaNCD in Iran.Health science reports · 2025Article
- Analyzing Patterns in Anesthesiology Residents' Exam Performance Using Data Mining Techniques.Anesthesiology and pain medicine · 2024Article
- The diabetes mellitus multimorbidity network in hospitalized patients over 50 years of age in China: data mining of medical records.BMC public health · 2024Article
- Unlocking new potential of clinical diagnosis with artificial intelligence: Finding new patterns of clinical and lab data.World journal of diabetes · 2024Article
- Detecting Multimorbidity Patterns with Association Rule Mining in Patients with Alzheimer's Disease and Related Dementias.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024Article
- Dose-response associations of maternal age with pregnancy complications and multimorbidity among nulliparas and multiparas: A multicentric retrospective cohort study in southern China.Journal of global health · 2023Article
- Prevalence of common chronic disease and multimorbidity patterns in Guangdong province with three typical cultures: analysis of data from the Diverse Life-Course Cohort study.Frontiers in public health · 2023Article
- Identification of status quo and association rules for chronic comorbidity among Chinese middle-aged and older adults rural residents.Frontiers in public health · 2023Article
- Associations Among Multimorbid Conditions in Hospitalized Middle-aged and Older Adults in China: Statistical Analysis of Medical Records.JMIR public health and surveillance · 2022Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Objective: Short-term or long-term connections between different diseases have not been fully acknowledged. This study was aimed at exploring the network association pattern between disorders that occurred in the same individual by using the association rule mining technique. Methods: Raw data were extracted from the large-scale electronic medical record database of the affiliated hospital of Xuzhou Medical University. 1551732 pieces of diagnosis information from 144207 patients were collected from 2015 to 2020. Clinic diagnoses were categorized according to "International Classification of Diseases, 10th revision". The Apriori algorithm was used to explore the association patterns among those diagnoses. Results: 12889 rules were generated after running the algorithm at first. After threshold filtering and manual examination, 110 disease combinations (support ≥ 0.001, confidence ≥ 60%, lift > 1) with strong association strength were obtained eventually. Association rules about the circulatory system and metabolic diseases accounted for a significant part of the results. Conclusion: This research elucidated the network associations between disorders from different body systems in the same individual and demonstrated the usefulness of the Apriori algorithm in comorbidity or multimorbidity studies. The mined combinations will be helpful in improving prevention strategies, early identification of high-risk populations, and reducing mortality.
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