The strongest associations of medical diagnosis across the three cohorts.

The strongest associations of medical diagnosis across the three cohorts.

<p><b>a)</b> HA-AKI, <b>b)</b> CA-AKI, and <b>c)</b> No-AKI. The diagnosis clusters identified by the community detection algorithms and designated as three colors: green, purple, and blue. Each Node (e.g., Z82.49, Z79.891 etc.) represent diagnosis, node siz...

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Bibliographic Details
Main Author: Mohammad A. Al-Mamun (6086642) (author)
Other Authors: Ki Jin Jeun (17374655) (author), Todd Brothers (9383541) (author), Ernest O. Asare (12372721) (author), Khaled Shawwa (2586589) (author), Imtiaz Ahmed (574504) (author)
Published: 2025
Subjects:
Medicine
Microbiology
Cell Biology
Developmental Biology
Marine Biology
Cancer
Mathematical Sciences not elsewhere classified
patient profiling algorithm
ischemic heart disease
including high cholesterol
identify patient profiles
identify clinical phenotypes
gi tract components
variable clustering methods
top three clusters
presented using comorbidities
hospital acquired aki
876 ckd patients
37 ), osteoarthritis
two methods
three groups
average comorbidities
aki patients
aki ),
14 ),
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urgent need
several conditions
promising approach
onset ckd
mean number
lactic acidosis
higher number
higher degree
find similarities
edges connected
comorbidity network
combining network
classified aki
ckd ).
betweenness centrality
based community
aki groups
aki group
aki cohort
84 vs
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