Abstract:
The Buddhists believe that Girimananda sutta has some
unseen power in healing the sick. In one of the discourses
known as Girimananda Sutta, the Buddha talks about the
causes of sickness and disease as originating from an
imbalance of bile (pita), phlegm (kapha), wind (vata), from
conflict of the humours, from changes of weather, from
adverse condition (which here mearls faulty deportment), from
devices, fi'om the result of kamma (kamma-vipaka); cold,
heat, hunger, thirst, excrement, and urine. Ayurvedic medicine
is prepared on the grounds of ill-balance ofthese constituents
in a person. Ayurvedic medicine has a.very strong bearing on
the concept of Prakurthi, which means nature (natural fo.m)
of the build and constitution of the human body. Ayurvedic
clinical psychology forms the clinical core of mental health
counseling. According Ayurvedic medical practises, a person
is dominatedon one of constitutes type (type of dosa)namely vata (vayu), pita (apo) or kapha (semha/.This is known as
prakurthi pariksha. Important aspect of identification of
constitute type is for diagnosis of mental diseases, because
each ofconstituent type has a list ofprobable mental diseases.
An important areaof expertise for many clinical psychologists
is psychological assessment.
Constructions of Information systems using
psychological assessment in clinical psychology have a
problem of effective communication because of implicit
knowledge. This complicates the effective communication
of clinical data to the psychologist in support of clinical
psychology. The airn of the approach is to identify the
influences of developing commonsense knowledge systems
for psychological assessments in clinical psychology. The
objectives should a) contribute to a better understanding of
the transformation processes in commonsense knowledge
related with concept of Prakurthi evolved by Girimananda
Sutta and b) provide effective communication of data to the
user in real-time machine processing in support of clinical
psychology. In this paper we present a methodology to
develop commonsense knowledge system in clinical
psychology. At the initial stage commonsense knowledge
relevant to dosa is converted into a questionnaire. Removing
dependencies among the questions are modeled using
principal component analysis. Classification for degre e of dasa
is processed throughfuzry logic module, which is constructed
on the basis of principal components" Further explanations
for classified knowledge are derived by expert system
technology. Evaluation of the system has shown 77%
accuracy.