… First, the pathological classification data of some patients with lung cancer were not … could
identify lung cancer patients at risk of a poor prognosis and be a useful prognostic marker in …

… The classification criteria of GPS and mGPS overlap partially, … markers using serum CRP
and albumin values, CAR has a strong effect on prediction of a postoperative poor prognosis for …

… We retrospectively identified and enrolled 226 patients with advanced or recurrent NSCLC
who were treated with anti-PD-1 therapy (nivolumab or pembrolizumab) between January …

… were taken for determination of lung cancer-related serum tumor markers before surgery, …
index, histologic classification and seven kinds of tumor markers are all the same as above. …

… identify the cytokines which play an important role in NSCLC, we intend to utilize the human
cytokines-array to explore differential expression inflammation… classification. Therefore, the 9 …

… The limitations of the study include the construction of a classifier for the diagnosis of lung
cancer without taking into account the histological type of tumor, as well as the determination …

… for early detection of lung cancer. Naïve Bayes is recommended as an exploitable tool for early
… SVM, which is the classification algorithm, intends to invent a decision boundary between …

… Organization (WHO) lung NEN classification. Typical and … practice such as advanced lung
cancer inflammation index (ALI), … Due to the rarity of lung NECs, identification of independent …

… prediction of future lung cancer diagnosis, identifying potential protein biomarkers for early
… in UKB data and trained Support Vector Machine (SVM) classifiers using this set of proteins. …

… identify which blood biomarkers correlated with the development and prognosis of CIP in
patients with lung cancer… A total of 848 patients with advanced lung cancer who were treated …