首页|Second Affiliated Hospital of Anhui Medical University Reports Findings in Sepsis (Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation)
Second Affiliated Hospital of Anhui Medical University Reports Findings in Sepsis (Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Blood Diseases and Conditions - Sepsis is the subject of a report. Accordingto news reporting originating in Anhui, People’s Republic of China, by NewsRx journalists, researchstated, “Sepsis-induced coagulopathy (SIC) is extremely common in individuals with sepsis, significantly associatedwith poor outcomes. This study attempted to develop an interpretable and generalizable machinelearning (ML) model for early predicting the risk of 28-day death in patients with SIC.”
AnhuiPeople’s Republic of ChinaAsiaBlood Diseases and ConditionsBloodstream InfectionCyborgsEmerging TechnologiesHealth and MedicineMachine LearningRisk and PreventionSepsisSepticemia
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