… early detection of the pancreatic cancer by finding minimal set of genetic biomarkers that can
be … We propose a genetic algorithm and we test it on gene expression data of 36 pancreatic …

… In response to these problems, this paper proposes a pancreatic cancer diagnosis … algorithm
and genetic algorithm. By collecting pathological data of patients with pancreatic cancer …

Background Although some improvements in the management of pancreatic cancer (PC)
have been made, no major breakthroughs in terms of biomarker discovery or effective …

… algorithm was tested using cases of patients with pancreatic … Ten consecutive patients
presenting with pancreatic cancer … optimization technique using a genetic algorithm and a dose-…

… We will use a Genetic Algorithm (GA) to select a subset of differentially expressed genes
from the microarray data, we will study how efficient this subset proves to be in discriminating …

… regression problem through the use of genetic algorithms. The identification of these correlations
… To better characterize and understand the genetics of pancreatic cancer, the aim of this …

… To augment the diagnostic accuracy of MRI on paediatric pancreatic cancer, Zhang et al. [76]
used a quantum genetic algorithm to optimize the parameters of a traditional SVM …

… Since most early symptoms of pancreatic cancer is non-… neural network and genetic algorithm
of artificial intelligence (… models for pancreatic cancer and acute pancreatitis. Additionally, it …

… for pancreatic cancer diagnosis using mass spectrometry data, compared with a genetic
algorithm… swarm optimizer and achieved better classification performance than other algorithms. …

… a new algorithm which predicts the chances of having pancreatic cancer based on a
combination of symptoms and baseline risk factors such as age, chronic pancreatitis, smoking, and …