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Frame-based expert decision support system for medical diagnosis

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Thesis abstract (37.39Kb)
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Date
2021
Author
Palomar, Cherry A.
Thesis Adviser
Balontong, Anrem J.
Defense Panel Chair
Penetrante, Mary O' T.
Defense Panel Member
Balontong, Rea P.
Quijano, Ma. Christina A.
Cambronero, Pedro Peter Rhys B. Jr.
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Abstract
The Frame-Based Expert Decision Support System for Medical Diagnosis is a web based application designed for the use of a physician in providing a diagnosis to patients who undergoes medical consultation. It is a Decision Support System using the frame based expert system algorithm that assesses the possible diseases that a patient may have basing on the symptoms and patient information provided into the system.

The system includes the recording of information, storing of health records, diagnosing of patients, issuance of electronic prescriptions and generating of statistical reports.

The methodology used in the system is the extreme programming as the development process is continuous as the phases allows the system to be defined and modified as errors are encountered during the testing phase. The system is then released upon completion of the developed study and all modules tested has passed.

Unit testing was used in testing the system developed as this allowed the each form of the modules to be tested thoroughly to accomplish the objective set.

As a result, the web based application was able to contribute in the diagnosis of the physician. With the knowledge base updated with the diseases and its relevant information, Physicians and patients provided a feedback that showed that the application was able to provide an accurate diagnosis based on the patient information that was provided to be able to assist the physician to arrive to a final diagnosis.
Description
Abstract only
URI
https://hdl.handle.net/20.500.12852/1340
Suggested Citation
Palomar, C. A. (2021). Frame-based expert decision support system for medical diagnosis (Unpublished Master’s thesis). Central Philippine University, Jaro, Iloilo City.
Type
Thesis
Subject(s)
Decision support systems OCLC - FAST (Faceted Application of Subject Terminology); Decision support systems--Computer programs OCLC - FAST (Faceted Application of Subject Terminology); Application software OCLC - FAST (Faceted Application of Subject Terminology); Application software--Development OCLC - FAST (Faceted Application of Subject Terminology); Diagnosis OCLC - FAST (Faceted Application of Subject Terminology); Diagnosis--Computer programs OCLC - FAST (Faceted Application of Subject Terminology); Information storage and retrieval systems OCLC - FAST (Faceted Application of Subject Terminology); Diagnosis--Decision making OCLC - FAST (Faceted Application of Subject Terminology); Diagnosis--Decision making--Data processing OCLC - FAST (Faceted Application of Subject Terminology)
Department
School of Graduate Studies
Degree
Master of Science in Computer Science
Shelf Location
GSL Theses 004.72 P186
Physical Description
x, 77 leaves
Collections
  • Master of Science in Computer Science [12]

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