Pulmonologists-Level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach

arXiv:2402.09596v1 Announce Type: new
Abstract: Lung cancer (LC) remains the primary cause of cancer-related mortality, largely due to late-stage diagnoses. Effective strategies for early detection are therefore of paramount importance. In recent years, machine learning (ML) has demonstrated considerable potential in healthcare by facilitating the detection of various diseases. In this retrospective development and validation study, we developed an ML model based on dynamic ensemble selection (DES) for LC detection. The model leverages standard blood sample analysis and smoking history …

abstract arxiv cancer cancer detection cs.lg detection explainable machine learning importance lung cancer machine machine learning mortality stage standard strategies test type