Cargando…
Connections between Various Disorders: Combination Pattern Mining Using Apriori Algorithm Based on Diagnosis Information from Electronic Medical Records
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...
Autores principales: | Ma, He, Ding, Jingjing, Liu, Mei, Liu, Ying |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122731/ https://www.ncbi.nlm.nih.gov/pubmed/35601156 http://dx.doi.org/10.1155/2022/2199317 |
Ejemplares similares
-
Application of Apriori Improvement Algorithm in Asthma Case Data Mining
por: Zheng, Yi, et al.
Publicado: (2021) -
Live Multiattribute Data Mining and Penalty Decision-Making in Basketball Games Based on the Apriori Algorithm
por: Zeng, Jian, et al.
Publicado: (2022) -
Apriori Algorithm for the Data Mining of Global Cyberspace Security Issues for Human Participatory Based on Association Rules
por: Li, Zhi, et al.
Publicado: (2021) -
Using the Apriori Algorithm to Explore Caregivers’ Depression by the Combination of the Patients with Dementia and Their Caregivers
por: Chang, Cheng-Chen, et al.
Publicado: (2021) -
Classification of Cardiotocography Based on the Apriori Algorithm and Multi-Model Ensemble Classifier
por: Chen, Meng, et al.
Publicado: (2022)