Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/7206,
  title    = {User Pattern Learning Algorithm based MDSS(Medical Decision Support System) Framework under Ubiquitous},
  author    = {Insung Jung and  Gi-Nam Wang},
  country   = {},
  institution={},
  abstract  = {In this paper, we present user pattern learning
algorithm based MDSS (Medical Decision support system) under
ubiquitous. Most of researches are focus on hardware system, hospital
management and whole concept of ubiquitous environment even
though it is hard to implement. Our objective of this paper is to design
a MDSS framework. It helps to patient for medical treatment and
prevention of the high risk patient (COPD, heart disease, Diabetes).
This framework consist database, CAD (Computer Aided diagnosis
support system) and CAP (computer aided user vital sign prediction
system). It can be applied to develop user pattern learning algorithm
based MDSS for homecare and silver town service. Especially this
CAD has wise decision making competency. It compares current vital
sign with user-s normal condition pattern data. In addition, the CAP
computes user vital sign prediction using past data of the patient. The
novel approach is using neural network method, wireless vital sign
acquisition devices and personal computer DB system. An intelligent
agent based MDSS will help elder people and high risk patients to
prevent sudden death and disease, the physician to get the online
access to patients- data, the plan of medication service priority (e.g.
emergency case).},
    journal   = {International Journal of Computer, Electrical, Automation, Control and Information Engineering},  volume    = {1},
  number    = {12},
  year      = {2007},
  pages     = {3832 - 3836},
  ee        = {http://waset.org/publications/7206},
  url       = {http://waset.org/Publications?p=12},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 12, 2007},
}