Identifying significant diagnosis and endoscopy factors for upper gastrointestinal bleeding
Background: Upper gastrointestinal bleeding (UGIB) is one of the most common medical emergencies associated with significant morbidity and mortality. Bleeding peptic ulcer is the most common disease for UGIB. The incidence of UGIB is twice as high in men as in women Lost-man-hours were increased...
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Format: | Academic Exercise |
Language: | English |
Published: |
2015
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Online Access: | https://eprints.ums.edu.my/id/eprint/17496/1/Identifying%20significant%20diagnosis%20and%20endoscopy%20factors.pdf |
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author | Ho, Jia Yiun |
author_facet | Ho, Jia Yiun |
author_sort | Ho, Jia Yiun |
collection | UMS |
description | Background: Upper gastrointestinal bleeding (UGIB) is one of the most common
medical emergencies associated with significant morbidity and mortality. Bleeding
peptic ulcer is the most common disease for UGIB. The incidence of UGIB is twice as
high in men as in women Lost-man-hours were increased due to the cost of peptic
ulcer disease in Malaysia.
Main Method: Multiple binary logistic was used in this study because the dependent
variable, peptic ulcer was in binary form. Four phases were involved in model building
approach. Independent variables with multicollinearity sources were
removed and insignificant variables were also eliminated from the test. The best
model was selected through the Modified Eight Selection Criteria (MSSC) and pseudo-R²
which had achieved the objectives in this study.
Main Findings: Factor analysis was used to determine the independent variables
from a raw data set. This research found that the variable for the best model had
been reduced to two variables which were Significant to the model. As a result, the
best model was the interaction between Blatchford score and Forrest ulcer
classification while another was the interaction between Blatchford score and rapid
urea test. The best model was only left with two interaction variable after the process
of elimination of insignificant variable and removal of multicollinearity source
variables.
Conclusion and Interpretation: In conclusion, the problem statement had been
achieved by finding the best model which was the interaction between Blatchford
score, Forrest ulcer classification and rapid urea test. Those significant variables
could help in diagnosis and endoscopy for the treatment of upper gastrointestinal
bleeding more accurately and precisely. |
first_indexed | 2024-03-06T02:52:23Z |
format | Academic Exercise |
id | ums.eprints-17496 |
institution | Universiti Malaysia Sabah |
language | English |
last_indexed | 2024-03-06T02:52:23Z |
publishDate | 2015 |
record_format | dspace |
spelling | ums.eprints-174962017-11-20T02:04:56Z https://eprints.ums.edu.my/id/eprint/17496/ Identifying significant diagnosis and endoscopy factors for upper gastrointestinal bleeding Ho, Jia Yiun QA Mathematics RC Internal medicine Background: Upper gastrointestinal bleeding (UGIB) is one of the most common medical emergencies associated with significant morbidity and mortality. Bleeding peptic ulcer is the most common disease for UGIB. The incidence of UGIB is twice as high in men as in women Lost-man-hours were increased due to the cost of peptic ulcer disease in Malaysia. Main Method: Multiple binary logistic was used in this study because the dependent variable, peptic ulcer was in binary form. Four phases were involved in model building approach. Independent variables with multicollinearity sources were removed and insignificant variables were also eliminated from the test. The best model was selected through the Modified Eight Selection Criteria (MSSC) and pseudo-R² which had achieved the objectives in this study. Main Findings: Factor analysis was used to determine the independent variables from a raw data set. This research found that the variable for the best model had been reduced to two variables which were Significant to the model. As a result, the best model was the interaction between Blatchford score and Forrest ulcer classification while another was the interaction between Blatchford score and rapid urea test. The best model was only left with two interaction variable after the process of elimination of insignificant variable and removal of multicollinearity source variables. Conclusion and Interpretation: In conclusion, the problem statement had been achieved by finding the best model which was the interaction between Blatchford score, Forrest ulcer classification and rapid urea test. Those significant variables could help in diagnosis and endoscopy for the treatment of upper gastrointestinal bleeding more accurately and precisely. 2015 Academic Exercise NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/17496/1/Identifying%20significant%20diagnosis%20and%20endoscopy%20factors.pdf Ho, Jia Yiun (2015) Identifying significant diagnosis and endoscopy factors for upper gastrointestinal bleeding. Universiti Malaysia Sabah. (Unpublished) |
spellingShingle | QA Mathematics RC Internal medicine Ho, Jia Yiun Identifying significant diagnosis and endoscopy factors for upper gastrointestinal bleeding |
title | Identifying significant diagnosis and endoscopy factors for upper
gastrointestinal bleeding |
title_full | Identifying significant diagnosis and endoscopy factors for upper
gastrointestinal bleeding |
title_fullStr | Identifying significant diagnosis and endoscopy factors for upper
gastrointestinal bleeding |
title_full_unstemmed | Identifying significant diagnosis and endoscopy factors for upper
gastrointestinal bleeding |
title_short | Identifying significant diagnosis and endoscopy factors for upper
gastrointestinal bleeding |
title_sort | identifying significant diagnosis and endoscopy factors for upper gastrointestinal bleeding |
topic | QA Mathematics RC Internal medicine |
url | https://eprints.ums.edu.my/id/eprint/17496/1/Identifying%20significant%20diagnosis%20and%20endoscopy%20factors.pdf |
work_keys_str_mv | AT hojiayiun identifyingsignificantdiagnosisandendoscopyfactorsforuppergastrointestinalbleeding |