首页|Zhejiang Cancer Hospital Reports Findings in Machine Learning (Serum Protein Fishing for Machine Learning-Boosted Diagnostic Classification of Small Nodules of Lung)
Zhejiang Cancer Hospital Reports Findings in Machine Learning (Serum Protein Fishing for Machine Learning-Boosted Diagnostic Classification of Small Nodules of Lung)
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New research on Machine Learning is the subject of a report. According to news reporting out of Zhejiang, People’s Republic of China, by NewsRx editors, research stated, “Diagnosis of benign and malignant small nodules of the lung remains an unmet clinical problem which is leading to serious false positive diagnosis and overtreatment. Here, we developed a serum protein fishing-based spectral library (ProteoFish) for data independent acquisition analysis and a machine learning-boosted protein panel for diagnosis of early Non-Small Cell Lung Cancer (NSCLC) and classification of benign and malignant small nodules.” Our news journalists obtained a quote from the research from Zhejiang Cancer Hospital, “We established an extensive NSCLC protein bank consisting of 297 clinical subjects. After testing 5 feature extraction algorithms and six machine learning models, the Lasso algorithm for a 15-key protein panel selection and Random Forest was chosen for diagnostic classification. Our random forest classifier achieved 91.38% accuracy in benign and malignant small nodule diagnosis, which is superior to the existing clinical assays.”
ZhejiangPeople’s Republic of ChinaAsiaCyborgsDiagnostics and ScreeningEmerging TechnologiesHealth and MedicineMachine Learning
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