Optimizing lung cancer classification through hyperparameter tuning
Syed Muhammad Nabeel,
Sibghat Ullah Bazai,
Nada Alasbali
et al.
Abstract:Artificial intelligence is steadily permeating various sectors, including healthcare. This research specifically addresses lung cancer, the world's deadliest disease with the highest mortality rate. Two primary factors contribute to its onset: genetic predisposition and environmental factors, such as smoking and exposure to pollutants. Recognizing the need for more effective diagnosis techniques, our study embarked on devising a machine learning strategy tailored to boost precision in lung cancer detection. Ou… Show more
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