2017
DOI: 10.1016/j.procs.2017.11.060
|View full text |Cite
|
Sign up to set email alerts
|

Multiscale modeling of comorbidity relations in hypertensive outpatients

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2018
2018
2021
2021

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 9 publications
0
2
0
Order By: Relevance
“…Common to many was the authors' use of electronic patient data as the primary source for elements of BN structure and observations necessary for prediction. This, while simultaneously admonishing the poor quality they observed of most available electronic health record (EHR) data and the limitations that arose from this quality issue [25][26][27]. Proposed approaches ranged from models for classifying the diagnosis [28] or severity [29] of a patient's condition, to prediction of risk for acute clinical events [25] and the likely progression of the individual's disease [26].…”
Section: Cardiac Conditionsmentioning
confidence: 99%
See 1 more Smart Citation
“…Common to many was the authors' use of electronic patient data as the primary source for elements of BN structure and observations necessary for prediction. This, while simultaneously admonishing the poor quality they observed of most available electronic health record (EHR) data and the limitations that arose from this quality issue [25][26][27]. Proposed approaches ranged from models for classifying the diagnosis [28] or severity [29] of a patient's condition, to prediction of risk for acute clinical events [25] and the likely progression of the individual's disease [26].…”
Section: Cardiac Conditionsmentioning
confidence: 99%
“…Proposed approaches ranged from models for classifying the diagnosis [28] or severity [29] of a patient's condition, to prediction of risk for acute clinical events [25] and the likely progression of the individual's disease [26]. It was not unusual for cardiac BNs to incorporate known comorbidities and validate their interaction with the patient's cardiac condition [26,27].…”
Section: Cardiac Conditionsmentioning
confidence: 99%