A Portable Decision Making Tool for Health Professionals Based on Neural Networks

نویسندگان

  • F. Vartziotis
  • Dimitrios I. Fotiadis
  • Aristidis Likas
  • Isaac E. Lagaris
چکیده

The article presents a fast portable system to provide health professionals with solutions for pre-operative surgical planning and decision making in real time. The system employs an effective computational environment for solving partial and ordinary differential equations based on neural networks. This approach is implemented partially on a specialized hardware board to exploit the fact that neural networks constitute massively parallel systems. The system also contains a powerful and convenient graphical user interface. There are tools to visualize and/or animate 2-D and 3-D data, and a customized interactive environment where particular biomedical problems can be easily processed and formulated.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A DSS-Based Dynamic Programming for Finding Optimal Markets Using Neural Networks and Pricing

One of the substantial challenges in marketing efforts is determining optimal markets, specifically in market segmentation. The problem is more controversial in electronic commerce and electronic marketing. Consumer behaviour is influenced by different factors and thus varies in different time periods. These dynamic impacts lead to the uncertain behaviour of consumers and therefore harden the t...

متن کامل

A conjugate gradient based method for Decision Neural Network training

Decision Neural Network is a new approach for solving multi-objective decision-making problems based on artificial neural networks. Using inaccurate evaluation data, network training has improved and the number of educational data sets has decreased. The available training method is based on the gradient decent method (BP). One of its limitations is related to its convergence speed. Therefore,...

متن کامل

An Unsupervised Learning Method for an Attacker Agent in Robot Soccer Competitions Based on the Kohonen Neural Network

RoboCup competition as a great test-bed, has turned to a worldwide popular domains in recent years. The main object of such competitions is to deal with complex behavior of systems whichconsist of multiple autonomous agents. The rich experience of human soccer player can be used as a valuable reference for a robot soccer player. However, because of the differences between real and simulated soc...

متن کامل

Decision Support System for Age-Related Macular Degeneration Using Convolutional Neural Networks

Introduction: Age-related macular degeneration (AMD) is one of the major causes of visual loss among the elderly. It causes degeneration of cells in the macula. Early diagnosis can be helpful in preventing blindness. Drusen are the initial symptoms of AMD. Since drusen have a wide variety, locating them in screening images is difficult and time-consuming. An automated digital fundus photography...

متن کامل

Entrepreneurship policy and innovative indicators of industrial companies: Evaluation by MCDM and ANN Methods

The present paper presented a methodology for prioritizing the innovative and entrepreneurial indicators using Multi Criteria Decision Making (MCDM) and Artificial Neural Networks (ANNs), taking into account three individual, organizational and cultural dimensions simultaneously in decision making procedure. This methodology has two main advantages: first, the speed of operation in the accounti...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Health Informatics Journal

دوره 9  شماره 

صفحات  -

تاریخ انتشار 2003