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Aims
To evaluate the performance of the WATCH‐DM risk score, a clinical risk score for heart failure (HF), in patients with dysglycaemia and in combination with natriuretic peptides (NPs).
Methods and results
Adults with diabetes/pre‐diabetes free of HF at baseline from four cohort studies (ARIC, CHS, FHS, and MESA) were included. The machine learning‐ [WATCH‐DM(ml)] and integer‐based [WATCH‐DM(i)]...
Even the most innovative healthcare technologies provide patient benefits only when adopted by clinicians and/or patients in actual practice. Yet realizing optimal positive impact from a new technology for the widest range of individuals who would benefit remains elusive. In software and new product development, iterative rapid-cycle “agile” methods more rapidly provide value, mitigate failure risks,...
A tool that automatically identifies subject domains of examination questions is useful in at least three ways: (1) it can help learners hone their ability to perform this subject identification task, which is an important skill in several highstakes examinations, (2) in the context of educational content repositories, it can assist both maintainers in organizing and learners in querying content,...
The transformation of the American healthcare payment system from fee-for-service to value-based care increasingly makes it valuable to develop patient registries for specialized populations, to better assess healthcare quality and costs. Recent widespread adoption of Electronic Health Records (EHRs) in the U.S. now makes possible construction of EHR-based specialty registry data collection tools...
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