AI-Decision Support System Interface Using Cancer Related Data for Lung Cancer Prognosis
This work addresses lung cancer prognosis for patients and clinicians, but it appears incremental as it focuses on interface creation without novel methodological breakthroughs.
The study tackled the problem of lung cancer prognosis by developing a web interface that uses machine learning algorithms on clinical and gene expression data from the GDC portal, but no concrete results or numbers were provided.
Until the beginning of 2021, lung cancer is known to be the most common cancer in the world. The disease is common due to factors such as occupational exposure, smoking and environmental pollution. The early diagnosis and treatment of the disease is of great importance as well as the prevention of the causes that cause the disease. The study was planned to create a web interface that works with machine learning algorithms to predict prognosis using lung cancer clinical and gene expression in the GDC data portal.