Application of gene expression programming and sensitivity analyses in analyzing effective parameters in gastric cancer tumor size and location

• Published in: Soft computing (Berlin, Germany) Vol. 24; no. 13; pp. 9943 - 9964
• Main Authors: Dorosti, Shadi, Jafarzadeh Ghoushchi, Saeid, Sobhrakhshankhah, Elham, Ahmadi, Mohsen, Sharifi, Abbas
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2020; Springer Nature B.V
• Subjects: Age; Artificial Intelligence; Cancer; Computational Intelligence; Control; Documents; Engineering; Gastric cancer; Gene expression; Health care facilities; Health services; Infections; Mathematical Logic and Foundations; Mathematical models; Mechatronics; Medical prognosis; Medical screening; Methodologies and Application; Methods; Mortality; Parameter identification; Parameter sensitivity; Patients; Risk factors; Robotics; Sensitivity analysis; Sex; Smoking; Terminal diseases; Tumors; Morris; Sensitivity analysis; Sobol’–Jansen; Distributed Evaluation of Local Sensitivity Analysis; Gastric cancer; Gene expression programming

Gastric cancer (GC) is the third reason for cancer-related deaths in the world. The late referral of patients to medical centers in an advanced stage can make the treatment procedure more difficult. Accurate diagnosis of risk factors in GC tumor size and tumor location can lead to taking preventive...