Journal
JOURNAL OF SUPERCOMPUTING
Volume 78, Issue 7, Pages 10310-10325Publisher
SPRINGER
DOI: 10.1007/s11227-021-04206-4
Keywords
Scenario analysis; Scenario and incident model; Cluster analysis; Knee osteoarthritis
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Osteoarthritis has become one of the most severe disability diseases in developed countries, causing pain, disability, and financial burdens. In this study, scenario and incident models are used to analyze different patient groups and identify key factors affecting treatment outcomes.
In developed countries, osteoarthritis (OA) has been among the ten most severe disability diseases in recent years. Approximately, 10% of the world's population struggle with knee OA symptoms at the age of 60. OA causes significant pain, disability, lifestyle decline, and financial burdens. Therefore, the discussion regarding the treatment of OA is crucial. In this study, we presented the use of scenario and incident models as frameworks, and divide patients into groups by cluster analysis. Subsequently, we identified the key factors of the initial state and analyzed the medical scenarios. Accordingly, we inferred that the characteristics of a patient influence the outcome of treatments, and administering different treatments to patients triggers different outcomes. The method to carry out this study was using cluster analysis and scenario analysis, and the result shows patients with higher effectiveness of improvement while taking supplement treatment, that is glucosamine. Patients should control their weight appropriately, because high BMI will impact the treatment outcome. Patients who exercise frequently have better treatment outcome, the age and gender rarely influence the treatment outcome. The findings of this study can provide beneficial suggestions for hospitals and physicians in adjusting the supply of treatments, improving medical quality, and providing knee OA patients with a way to adopt appropriate treatment.
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