We analyze in this work data (mainly diagnoses and drugs, both coded) from patients suffering from these chronic conditions.
We analyze in this work data (mainly diagnoses and drugs, both coded) from patients suffering from these chronic conditions.
A well- known method that has regained attention in the large-data literature is the Multiple Correspondence Analysis (MCA) [8], which is a visual method for ...
... Finding Associations among Chronic Conditions by Bootstrap and Multiple Correspondence Analysis | Find, read and cite all the research you need on ResearchGate.
Soguero-Ruiz et al (2020) - Finding associations among chronic conditions by bootstrap and multiple correspondence analysis - Free download as PDF File ...
Finding Associations among Chronic Conditions by Bootstrap and Multiple Correspondence Analysis. BIBM 2020: 2066-2073. [+][–]. Coauthor network. maximize. Note ...
... Finding Associations among Chronic Conditions by Bootstrap and Multiple Correspondence Analysis. S12207. S. Frederick Booth, Maurice Mulvenna, Raymond Bond ...
Multiple Correspondence Analysis and HLA-Associations of Organ ...
www.ncbi.nlm.nih.gov › PMC10284928
Jun 15, 2023 · Using Multiple Correspondence Analysis, we identified seven clusters of organ involvement in European American (EA; n = 385) patients which were ...
A new approach for constructing elliptical bootstrap confidence regions for Multiple Correspondence Analysis is proposed
Missing: Chronic | Show results with:Chronic
Sep 29, 2023 · To verify the robustness of the mediation effect, we further conducted bootstrap analyses with 5000 bootstrapping tests (Table 3). Based on the ...