فهرست مطالب

  • Volume:4 Issue: 3, 2015
  • تاریخ انتشار: 1394/06/20
  • تعداد عناوین: 3
|
  • Marjan Ghazi Saeidi, Mostafa Langarizadeh, Mehrshad Mokhtaran, Zeynab Hasani Page 1
    Breast cancer is the most common cancer in women at different stages of life affects about 10 percent of them. This Cancer is the second cause of death in women and the most common cause of death among women 45-55 years old. So the find a model to predict the likelihood of breast cancer based on patient past history and other risk factors is helpful. The purpose of this study was Building a Bayesian network model to calculate the risk of breast cancer. This research is developmental. Model and the conditional probability table that obtained from the Clementine 12.0. Breast cancer detection accuracy evaluate and results showed that the accuracy of the model was 96.22 percent. key words-- Breast cancer, Bayesian networks, Modeling.
  • Moslem Behroozi, Elham Parvinnia Page 6
    The stored data in medical databases usually contains precious and hidden knowledge, which can be helpful in detection, prediction and treatment of sicknesses. Discovery and extraction of this knowledge are performed using data mining algorithms and resulted into the creation of intelligent systems titled medical decision support systems. This research offers a new prediction method for heart disease that combines three forward perceptron neural networks. In the proposed method at the first step, three perceptron neural networks are created separately and in the next step, the combined approach is done through voting. The experiment was performed on medical data of NEZAJA healthcare. Therefore, each of three individual neural networks along with other data mining algorithms such as decision trees and simple Bayesian have been executed separately on this data in the same condition, and the accuracy for heart disease prediction was calculated. The experimental results show the superiority of the proposed approach compared with other methods.
  • Ladan Soltanzadeh, Mohammad Rabiee Page 11
    Health informatics is informatics in health care. disciplines involved include information science, computer science, social science, behavioral science, management science, and others. It deals with the resources, devices, and methods required to optimize the acquisition, storage, retrieval, and use of information in health and biomedicine. Health informatics tools include amongst others computers, clinical guidelines, formal medical terminologies, and information and communication systems. The main goal of this work is review on Health Informatics.