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clinical risk assessment

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DataFunTalk
DataFunTalk
Aug 31, 2021 · Artificial Intelligence

Applying Knowledge Graphs for Clinical VTE Risk Assessment: A Case Study from HuiMei Technology

This article describes how HuiMei Technology leverages a medical knowledge graph, natural‑language processing, and AI‑driven scoring to automate venous thromboembolism (VTE) risk assessment in large hospitals, detailing the business background, technical architecture, implementation workflow, and ongoing research directions.

Medical AINatural Language ProcessingSNOMED-CT
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Applying Knowledge Graphs for Clinical VTE Risk Assessment: A Case Study from HuiMei Technology