Lung cancer is the major cause of cancer‐related death in this generation, and it is expected
to remain so for the foreseeable future. It is feasible to treat lung cancer if the symptoms of …

The role of NLRP3 inflammasome in innate immunity is newly recognized. The NLRP3
protein is a family of nucleotide-binding and oligomerization domain-like receptors as well …

In recent years, imbalanced data classification has emerged as a challenging task. To
address this issue, we propose an adaptive SV-Borderline SMOTE-SVM (Synthetic Minority …

The usefulness of the oversampling approach to class-imbalanced structured medical
datasets is discussed in this paper. In this regard, we basically look into the oversampling …

Medical outcomes must be tracked in order to enhance quality initiatives, healthcare
management, and mass education. Thoracic surgery data have been acquired for those who …

Objectives To propose a radiomics-based prediction model for head and neck squamous
cell carcinoma (HSNCC) recurrence after radiation therapy using a novel data imbalance …

Aiming at the problem of on-load tap changer (OLTC) fault diagnosis under imbalanced data
conditions (the number of fault states is far less than that of normal data), this paper …

Objective To investigate the risk factors for delayed postoperative bleeding after endoscopic
submucosal dissection (ESD) in patients with gastric precancerous lesions and to construct …

Esophageal cancer (EC) poses a significant health concern, particularly among the elderly,
warranting effective treatment strategies. While immunotherapy holds promise in activating …

Lung cancer is the most common cause of mortality, and it is the only sort of cancer that
affects both men and women globally. The primary goal of this paper is to creates a model …