Journal of Health & Medical Informatics

Farahnaz Sadoughi

Publications

• Research Article
  An Intelligent System Based on Back Propagation Neural Network and Particle Swarm Optimization for Detection of Prostate Cancer from Benign Hyperplasia of Prostate
  Author(s): Farahnaz Sadoughi, Mustafa Ghaderzadeh, Mohsen Solimany and Rebecca FeinFarahnaz Sadoughi, Mustafa Ghaderzadeh, Mohsen Solimany and Rebecca Fein
  
  Conventional clinical diagnostic methods are generally based on a single classifier. In present paper, we propose a hybrid Backpropagation neural network (BPNN) classifier based particle swarm optimization (PSO) method. In the present paper by combining the principles two algorithm, we propose a new but simple hybrid algorithm called BPNN_ PSO. Our novel algorithm optimizes BPNN with PSO and reduces computational time of the training phase of BPNN. The performance of the algorithm has been tested with prostate cancer. A total of 360 medical records collected from the patients suffering from neoplasia diseases have been used to train and test the proposed algorithm. The results show that the proposed BPNN–PSO algorithm can achieve very high diagnosis accuracy (98%) and it proving its usefulness in supporting of clinical decision process of prostate cancer. Comparing the simulated.. Read More»
  DOI: 10.4172/2157-7420.1000158

  Abstract PDF