首页|Kocaeli University Reports Findings in Artificial Intelligence (A novel approach to antimicrobial resistance: Machine learning predictions for carbapenem-resist ant Klebsiella in intensive care units)
Kocaeli University Reports Findings in Artificial Intelligence (A novel approach to antimicrobial resistance: Machine learning predictions for carbapenem-resist ant Klebsiella in intensive care units)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsoriginating from Kocaeli, Turkey , by NewsRx correspondents, research stated, “This study was conductedat Kocael i University Hospital in Turkey and aimed to predict carbapenem-resistant Klebsiella pneumoniaeinfection in intensive care units using the Extreme Gradient Boosting (XGBoost) algorithm, a form ofartificial intelligence. This was a retrospective case-con trol study involving 289 patients, including 159carbapenem-resistant and 130 ca rbapenem-susceptible individuals as controls.”
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