Please use this identifier to cite or link to this item:
Title: Data analysis techniques for medical informatics
Authors: Maung Tin Aung Tun.
Keywords: DRNTU::Engineering::Industrial engineering::Information systems
Issue Date: 2007
Abstract: This dissertation attempts to uncover the potential uses of statistical methods. A continuous dataset was analyzed by using traditional statistical methods and the findings were discussed in order to evaluate the useful and important information in clinical practice. The standardization of the medical data is different for different regions e.g. west and east. The focus of the sample dataset is the proper use of data analysis techniques to evaluate the accuracy or the estimation of the echographic measurement based on the manual measurement at birth. This dissertation was based on the idea of what data is useful in clinical practice, how the statistical methods show the significance of the information from haphazard data and how the information manifests in medical decision-making.
Description: 90 p.
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Theses

Files in This Item:
File Description SizeFormat 
  Restricted Access
9.59 MBAdobe PDFView/Open

Page view(s)

checked on Sep 30, 2020


checked on Sep 30, 2020

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.