Articles via Databases
Articles via Journals
Online Catalog
E-books
Research & Information Literacy
Interlibrary loan
Theses & Dissertations
Collections
Policies
Services
About / Contact Us
Administration
Littman Architecture Library
This site will be removed in January 2019, please change your bookmarks.
This page will redirect to https://digitalcommons.njit.edu/dissertations/1132 in 5 seconds

The New Jersey Institute of Technology's
Electronic Theses & Dissertations Project

Title: Computer aided localization of neurological diseases
Author: Parlar, Yusuf
View Online: njit-etd1990-032
(vi, 126 pages ~ 4.0 MB pdf)
Department: Department of Electrical Engineering
Degree: Doctor of Engineering Science
Program: Electrical Engineering
Document Type: Dissertation
Advisory Committee: Meyer, Andrew Ulrich (Committee chair)
Dios, Rose Ann (Committee member)
Reisman, Stanley S. (Committee member)
Engler, Peter (Committee member)
Weissman, Walter (Committee member)
Date: 1990
Keywords: Neurology--Data processing.
Neurology--Mathematical models.
Diagnosis, Computer assisted.
Medicine--Data processing.
Availability: Unrestricted
Abstract:

Computers in medicine has brought new dimensions and better understanding of uncertainties in the field of medical sciences in the last decade. This thesis is focused upon the localization of neurological lesions in the human nervous system. It relates clinical neurological test outcomes to pathways of function or malfunction. Certain methods are proposed-empirical. stochastic. Deterministic-to estimate the spatial distributions of lesion probabilities.

First. a Bayesian model is presented to estimate the posterior probability of lesion from a priori information, based on the test outcomes. Due to unavailable data alternative methods and models are presented: Regression Analysis. Monte Carlo simulation, and finally a new model known as Logistic Sigmoid Nonlinearity is proposed for probability estimation. This dissertation analyzes each of these models and alternative methodologies in detail.


If you have any questions please contact the ETD Team, libetd@njit.edu.

 
ETD Information
Digital Commons @ NJIT
Theses and DIssertations
ETD Policies & Procedures
ETD FAQ's
ETD home

Request a Scan
NDLTD

NJIT's ETD project was given an ACRL/NJ Technology Innovation Honorable Mention Award in spring 2003