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VOL. 9, ISSUE 1 (2024)
Expert medical diagnostic system for the estimation of foetal parameters
Authors
Okpobo Tonyeseigha Passman, Okpobo, Christiana Kelechi
Abstract
The goal of this study is to design and implement an expert Medical
Diagnostic System for Estimation of Foetal Parameter [Foetal Weight, Foetal Age
or Gestational Age, Conception Date and Delivery Date], in the first trimester.
Survey and analysis were carried out on users, patients, manager, technical and
professional experts, while relevant forms and literature were reviewed, the
purpose being to transform system objectives, analysis and input into a
structured specification. This is achieved using functioning diagrams and tools
such as Data Flow Diagrams, Data Dictionary, Input and Output Format, Program
Module Specification, System Flowchart, etc. required to produce programs that
imitate human performance in a wide variety of "intelligent" task
[Expert System]. Foetal Weight was found to be a function of foetal Head
Circumference (HC), Femur Length (FL), Abdominal Circumference (AC) and
Biparietal Diameter (BPD) and Predictable with a polynomial equation. Again,
foetal age or gestational age was found to be a function of Foetal weight and
predictable with an equation. The equations for determination of Conception and
Delivery Date were derived by using the fact that pregnancy typically last 40
weeks or 9 months and it is counted from the first day of a woman's last
period, implying that at conception the unborn child is already considered two
weeks old. The output from the system is the ultimate design and implementation
of an intelligent machine or Expert System which can mimic human thought,
understanding logic, and can handle the range of problems which are coextensive
with the range of problems to which human mind has been applied to medical
diagnosis for Estimation of Foetal Parameter [Foetal Age, Foetal Weight,
Conception and Delivery Dates].
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Pages:38-48
How to cite this article:
Okpobo Tonyeseigha Passman, Okpobo, Christiana Kelechi "Expert medical diagnostic system for the estimation of foetal parameters". International Journal of Academic Research and Development, Vol 9, Issue 1, 2024, Pages 38-48
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