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Chapter 46
New Models for ICT-
Based Medical Diagnosis
ABSTRACT
This chapter is focused on evaluation of the links between physiology of human body and human emotional
states in order to help specialists to perform a correct diagnosis correlated to patient’s expectations
and emotional states, as denoted here “the Trust Diagnosis” (TD). The approach in these techniques
is different from the previous ones. Instead of observing and classifying the people’s responses to ex-
ternal stimuli or internal emotional factors, the authors are interested in developing a mechanism that
appropriately describes the doctor-patient interaction via emotional states caused by disease and/or
by doctor’s examination, and that can lead to a TD. The authors intend to develop this approach in two
stages: the first stage is focused on emotion models expressed in a qualitative formalism capable to link
analytic tools to emotion expressions and deliver significant information for both laboratory analysis
methods and doctors’ diagnoses. The second stage is focused on the improvement of the automated medi-
cal diagnosis based on biological feature selection and classification, as biological features represent
patterns of important information.
INTRODUCTION
The medical diagnosis is nowadays confronted
with new and often unexpected challenges that
provoke a large range of emotional responses.
Since no two responses are alike, a variety of
emotional behaviors are encountered among pa-
tients and therefore medical personnel have to face
both medical diagnosis as well as patient’s trust.
When these two antagonists desiderate is met,
the chances for patient’s healing grow. Our work
deals with this issue and proposes a new model
Calin Ciufudean
Stefan cel Mare University, Romania
Otilia Ciufudean
ARENI Medical Center, Romania
Constantin Filote
Stefan cel Mare University, Romania
DOI: 10.4018/978-1-4666-3990-4.ch046