Designing a Knowledge Based System for Blood Transfusion
| dc.contributor.advisor | Jemaneh, Getachew | |
| dc.contributor.author | Dagnew, Guesh | |
| dc.date.accessioned | 2018-11-16T08:44:34Z | |
| dc.date.accessioned | 2023-11-18T12:44:01Z | |
| dc.date.available | 2018-11-16T08:44:34Z | |
| dc.date.available | 2023-11-18T12:44:01Z | |
| dc.date.issued | 2012-05 | |
| dc.description.abstract | Transfusing the right blood to the right patient is the intention of blood transfusion in many health care organizations. Blood transfusion in Ethiopia takes place in hospitals, but collecting of blood from donors takes place in the National Blood Bank, which is under the Ethiopia Red Cross Society. However, still hospitals can collect and transfuse for urgent and regional cases. Currently, there is a gap of expertise among health professionals involve in blood transfusion, such as shortage of knowledge, which blood type for whom. Developing knowledge-based system to support professionals involve in blood transfusion helps to solve the problem, and is found to be feasible to develop a knowledge-based system within the area of blood transfusion. In this study, a knowledge-based system prototype is developed for blood transfusion. This system will minimize the errors committed such as, which blood type should be transfused for patients in need of urgent or non-urgent transfusion requirements. The system registers a promising and encouraging performance result which is highly applicable. Target users are keen that the system is a clinching effort hence, valuable support in blood transfusion is expected of the system. Users need to provide patients profile such as name, gender and age-group before proceeding to the next blood product options. For whole blood transfusion, users need to test blood type compatibility, room temperature test and decision of urgent and non-urgent issues. For the other blood products, red blood cell, Platelet and plasma, selecting the blood type of a patient is done, and then the system will generate the appropriate blood type sequentially. The output of this study is applicable to training of newly employed health professionals in blood transfusion and for teaching aid in hematology courses within the field of medicine. This study is done first by problem identification followed by tacit knowledge extraction by using interview and observation. For explicit knowledge elicitation, document analysis such as manuals and books is done. The acquired knowledge from domain experts and document analysis is modeled using hierarchal knowledge representation. Then the knowledge is represented in production rule (If-Then-Action) and the prototype is developed using SWI-prolog editor environment. The system works using the backward inference mechanism. The system is tested and evaluated by users, and promising result was registered. The system can be applicable to blood transfusion, since it registers 83.3% complete knowledge for the task. XIII Key Words: Blood Transfusion, Whole Blood, RBC, platelet, plasma, KBS, Prolog, knowledge acquisition, knowledge representation | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/14350 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Blood Transfusion | en_US |
| dc.subject | Whole Blood, | en_US |
| dc.subject | RBC | en_US |
| dc.subject | platelet, | en_US |
| dc.subject | plasma | en_US |
| dc.subject | KBS | en_US |
| dc.subject | Prolog, | en_US |
| dc.subject | knowledge acquisition, | en_US |
| dc.subject | knowledge representation | en_US |
| dc.title | Designing a Knowledge Based System for Blood Transfusion | en_US |
| dc.type | Thesis | en_US |