Cancer has been a significant threat to human health and well‐being, posing the biggest
obstacle in the history of human sickness. The high death rate in cancer patients is primarily …

Recently, machine learning (ML), a subfield of artificial intelligence (AI), thrives in the
healthcare system. It is widely accepted by healthcare practitioners that ML can revolutionize …

The majority of people in the current atmospheric conditions are affected by lung cancer
disease. The analysis of respiratory illness offers a captivating and dynamic research space …

Abstract Machine learning has gained popularity in predicting survival time in the medical
field. This review examines studies utilizing machine learning and data-mining techniques to …

Cancer is a long-term, exhausting disease that requires changes in all living conditions of
the patient and his/her environment. Although there are regional variations in deaths from all …

Patients' accurate survival predictions can influence treatment planning and costs,
particularly lung cancer, which is one of the leading causes of cancer-related death …

Introduction: The remarkable growth of lung cancer and its associated impacts and
consequences, along with the substantial costs it imposes on society, has driven the medical …

It is critical for healthcare providers to accurately determine lung cancer patients' prognostics
and develop customized treatment plans. However, lung cancer has proven to be a complex …

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 …

Abstract Machine learning is an important artificial intelligence technique that is widely
applied in cancer diagnosis and detection. More recently, with the rise of personalised and …