To establish a prognostic model of epidermal growth factor receptor mutated non-small cell lung cancer patients based on Least Absolute Shrinkage and Selection Operator regression
Bowen Li,
Xiaopeng Zhang
Abstract:Background
There is currently a shortage of effective diagnostic tools that are used for identifying long-term survival among non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) mutations. This research utilized the development of a prognostic model to assist clinicians in forecasting the survival over 24 months.
Methods
In Phase III and IV those patients who were diagnosed with EGFR mutation from January 2018 to Jun… Show more
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