A Novel CMAUT-UML Framework for the Optimisation of Clinical Information System (CIS) and Prediction of CVD Percentage Risk
PhD Thesis
Edoh, Aloysius Adotey 2013. A Novel CMAUT-UML Framework for the Optimisation of Clinical Information System (CIS) and Prediction of CVD Percentage Risk. PhD Thesis University of East London School of Architecture, Computing and Engineering https://doi.org/10.15123/PUB.3898
Authors | Edoh, Aloysius Adotey |
---|---|
Type | PhD Thesis |
Abstract | This research critically analyses the different types of clinical data representation used in modelling Clinical Information Systems (CIS) and their limitations. It identifies space complexity, information overload, performance degradation, erroneous data retrieval and transmission as some of the main challenges caused by inappropriate data representation. Literature reviewed, indicated that object-oriented Health Level 7 (HL7), Entity Attribute Value (EAV), Advanced ERD with XML, and ERD –FOL (First Order Logic) are some of the contemporary methods used in modelling and optimising CIS. However, these approaches do not address the space complexity and information overload issues because of the multi-dimensional, complex large-scale nature of clinical datasets. Therefore, this research proposes a unique framework that uses object-oriented (UML) technique and combinatorial multiple attribute utility theory (CMAUT) as a new clinical data re-representation. In the CMAUT framework, the human organs, their multiple attributes and relationships are modelled using classes. The attributes of each organ class are written as logical expressions using CMAUT concepts, which are linked to each other with logical connectors AND for complementary organs such as cardiovascular and OR for substitutable organs like kidneys. |
Year | 2013 |
Digital Object Identifier (DOI) | https://doi.org/10.15123/PUB.3898 |
Publication dates | |
Sep 2013 | |
Publication process dates | |
Deposited | 11 Aug 2014 |
Publisher's version | License CC BY-NC-ND |
https://repository.uel.ac.uk/item/85w55
Download files
171
total views127
total downloads3
views this month1
downloads this month