首页|Shanghai Jiao Tong University School of Medicine Reports Findings in Lung Cancer (Meta-lasso: new insight on infection prediction after minimally invasive surgery)
Shanghai Jiao Tong University School of Medicine Reports Findings in Lung Cancer (Meta-lasso: new insight on infection prediction after minimally invasive surgery)
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New research on Oncology - Lung Cancer is the subject of a report. According to news reporting out of Shanghai, People’s Republic of China, by NewsRx editors, research stated, “Surgical site infection (SSI) after minimally invasive lung cancer surgery constitutes an important factor influencing the direct and indirect economic implications, patient prognosis, and the 5-year survival rate for early-stage lung cancer patients. In the realm of predictive healthcare, machine learning algorithms have been instrumental in anticipating various surgical outcomes, including SSI.” Our news journalists obtained a quote from the research from the Shanghai Jiao Tong University School of Medicine, “However, accurately predicting infection after minimally invasive surgery remains a clinical challenge due to the multitude of physiological and surgical factors associated with it. Furthermore, clinical patient data, in addition to being high-dimensional, often exists the long-tail problem, posing difficulties for traditional machine learning algorithms in effectively processing such data. Based on this insight, we propose a novel approach called meta-lasso for infection prediction following minimally invasive surgery. Our approach leverages the sparse learning algorithm lasso regression to select informative features and introduces a meta-learning framework to mitigate bias towards the dominant class. We conducted a retrospective cohort study on patients who had undergone minimally invasive surgery for lung cancer at Shanghai Chest Hospital between 2018 and 2020. The evaluation encompassed key performance metrics, including sensitivity, specificity, precision (PPV), negative predictive value (NPV), and accuracy.”
ShanghaiPeople’s Republic of ChinaAsiaCancerCyborgsEmerging TechnologiesHealth and MedicineLung CancerLung Diseases and ConditionsLung NeoplasmsMachine LearningOncologySurgery
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