Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A new fuzzy-chaotic modelling proposal for medical diagnostic processes
Download
index.pdf
Date
2005
Author
Beyan, Timur
Metadata
Show full item record
Item Usage Stats
235
views
100
downloads
Cite This
Main reason of this study is to set forth the internal paradox of the basic approach of the artificial intelligence in the medical field to by discussing on the theoretical and application levels and to suggest solutions in theory and practice against that. In order to rule out the internal paradox in the medical decision support systematic, a new medical model is suggested and based on this, concepts such as disease, health, etiology, diagnosis and treatment are questioned. Meanwhile, with the current scientific data, a simple application sample based on how a decision making system which was set up by fuzzy logic and which is based on the perception of human as a complex adaptive system has been explained. Finally, results of the research about accuracy and validity of this application, current improvements based on the current model and the location on the artificial intelligence theory is discussed.
Subject Keywords
Study and Teaching.
URI
http://etd.lib.metu.edu.tr/upload/3/12605924/index.pdf
https://hdl.handle.net/11511/14958
Collections
Graduate School of Informatics, Thesis
Suggestions
OpenMETU
Core
Experimenting with software testbeds for evaluating new technologies
LINDVALL, Mikael; RUS, Ioana; DONZELLI, Paolo; MEMON, Atif; ZELKOWITZ, Marvin; Betin Can, Aysu; BULTAN, Tevfik; ACKERMANN, Chris; ANDERS, Bettina; ASGARI, Sima; BASILI, Victor; HOCHSTEIN, Lorin; FELLMANN, Joerg; SHULL, Forrest; TVEDT, Roseanne; PECH, Daniel; HIRSCHBACH, Daniel (2007-08-01)
The evolution of a new technology depends upon a good theoretical basis for developing the technology, as well as upon its experimental validation. In order to provide for this experimentation, we have investigated the creation of a software testbed and the feasibility of using the same testbed for experimenting with a broad set of technologies. The testbed is a set of programs, data, and supporting documentation that allows researchers to test their new technology on a standard software platform. An import...
A MODEL-DRIVEN ENGINEERING APPROACH TO SIMULATION EXPERIMENT DESIGN AND EXECUTION
Teran-Somohano, Alejandro; Smith, Alice E.; Ledet, Joseph; Yilmaz, Levent; Oğuztüzün, Mehmet Halit S. (2015-12-09)
There is an increasing awareness of the added value that efficient design of experiments can provide to simulation studies. However, many practitioners lack the proper training required to design, execute and analyze a well-designed simulation experiment. In this study, we present the initial stages of a model-driven engineering based tool for managing simulation experiments. Underlying our approach are an experiment ontology and a feature model that capture the statistical design of experiments expert know...
Using learning style theory in remote laboratory applications
Tokdemir, Guel; Cagiltay, Nergiz Ercil (2007-09-07)
Studies have shown that, while learning different concepts, people sometimes use different approaches. These different approaches define individual learning styles. Understanding learning style differences is thus an important step in improving performance of the individuals and educational institutions. In this study, a learning style assessment tool was used to examine the relationship between students' learning styles and their performance in engineering education programs of Atilim University. 329 stude...
Investigation of preservice science teachers’ nature of science understanding and decision making on socioscientific issue through the fractal model
Adal, Elif Ece; Çakıroğlu, Jale; Department of Elementary Education (2019)
This is a qualitative grounded theory study to reveal how decision making (DM) processes on socioscientific issue (SSI) in a referendum case are operated by unsophisticated (Group U) and sophisticated (Group S) ones in terms of nature of science (NOS) understandings. Firstly, pre-study was conducted with focus group interviews with pre-service science teachers. With the findings, semi-structured in-depth interviews of main study for DM on SSI- the artificial meat was developed. In main study, 12 participant...
Convergence Error and Higher-Order Sensitivity Estimations
Eyi, Sinan (2012-10-01)
The aim of this study is to improve the accuracy of the finite-difference sensitivities of differential equations solved by iterative methods. New methods are proposed to estimate the convergence error and higher-order sensitivities. The convergence error estimation method is based on the eigenvalue analysis of linear systems, but it can also be used for nonlinear systems. The higher-order sensitivities are calculated by differentiating the approximately constructed differential equation with respect to the...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
T. Beyan, “A new fuzzy-chaotic modelling proposal for medical diagnostic processes,” M.S. - Master of Science, Middle East Technical University, 2005.
