首页|Affiliated Hospital of Qingdao University Reports Findings in Sepsis (Machine le arning models to predict systemic inflammatory response syndrome after percutane ous nephrolithotomy)
Affiliated Hospital of Qingdao University Reports Findings in Sepsis (Machine le arning models to predict systemic inflammatory response syndrome after percutane ous nephrolithotomy)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Blood Diseases and Con ditions - Sepsis is the subject of a report.According to news reporting from Qi ngdao, People’s Republic of China, by NewsRx journalists, researchstated, “The objective of this study was to develop and evaluate the performance of machine l earningmodels for predicting the possibility of systemic inflammatory response syndrome (SIRS) following percutaneousnephrolithotomy (PCNL). We retrospectivel y reviewed the clinical data of 337 patients whoreceived PCNL between May 2020 and June 2022.”
QingdaoPeople’s Republic of ChinaAsi aBlood Diseases and ConditionsCyborgsEmerging TechnologiesHealth and Med icineMachine LearningNephrolithotomySepsisSurgery
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