Predictive analysis for identifying potentially undiagnosed post-stroke spasticity patients in United Kingdom
Conclusions Using machine learning techniques, additional unrecorded post-stroke spasticity patients were identified, increasing the condition’s prevalence in THIN from 2% to 13%. This work shows the potential for under-reporting of PSS in primary care data, and provides a method for improved identification of cases and control records for future studies. Graphical abstract
Source: Journal of Biomedical Informatics - Category: Information Technology Source Type: research
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