Excellence in Research and Innovation for Humanity
@article{(International Science Index):http://waset.org/publications/382,
  title    = {An Intelligent Fuzzy-Neural Diagnostic System for Osteoporosis Risk Assessment},
  author    = {Chin-Ming Hong and  Chin-Teng Lin and  Chao-Yen Huang and  Yi-Ming Lin},
  country   = {},
  abstract  = {In this article, we propose an Intelligent Medical
Diagnostic System (IMDS) accessible through common
web-based interface, to on-line perform initial screening for
osteoporosis. The fundamental approaches which construct the
proposed system are mainly based on the fuzzy-neural theory,
which can exhibit superiority over other conventional technologies
in many fields. In diagnosis process, users simply answer
a series of directed questions to the system, and then they
will immediately receive a list of results which represents the
risk degrees of osteoporosis. According to clinical testing results,
it is shown that the proposed system can provide the general
public or even health care providers with a convenient, reliable,
inexpensive approach to osteoporosis risk assessment.},
    journal   = {International Journal of Computer, Electrical, Automation, Control and Information Engineering},  volume    = {2},
  number    = {6},
  year      = {2008},
  pages     = {1970 - 1975},
  ee        = {http://waset.org/publications/382},
  url       = {http://waset.org/Publications?p=18},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 18, 2008},