A machine learning evolutionary algorithm-based formula to assess tumor markers and predict lung cancer in cytologically negative pleural effusions.
Stefano EliaGianni D'AngeloFrancesco PalmieriRoberto SorgeRenato MassoudClaudio CorteseGeorgia HardavellaAlessandro De StefanoPublished in: Soft Comput. (2020)
Keyphrases
- lung cancer
- evolutionary algorithm
- cancer diagnosis
- machine learning
- lung cancer patients
- cancer cells
- automated detection
- pulmonary nodules
- early detection
- lymph nodes
- pet ct
- machine learning methods
- survival prediction
- machine learning algorithms
- image guided
- learning algorithm
- risk factors
- data mining
- genetic algorithm
- feature selection
- medical data
- intraoperative
- imaging modalities
- high rate
- statistical methods
- computer assisted
- image processing