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Integrated Detection and Classification of Sepsis via Tensor Methods Using EHR is sponsored by National Heart, Lung, and Blood Institute (NHLBI). This grant aims to improve sepsis care through early detection, accurate patient phenotyping, and prompt treatment by developing an integrated tensor-based modeling framework to analyze high-dimensional EHR data.
The developed tools will form 'Sepsis Pulse' within Duke Hospital's Sepsis Watch system.
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Or search similar grants →According to the current listing, eligibility includes: Organizations with strong research capabilities in biomedical engineering, computer science, and clinical informatics, particularly those with access to extensive electronic health record (EHR) data and clinical workflows for sepsis management. The specific award cited is for Johns Hopkins University. Confirm the full requirements in the official notice before applying.
Integrated Detection and Classification of Sepsis via Tensor Methods Using EHR is funded by National Heart, Lung, and Blood Institute (NHLBI). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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