Architecture for clinical decision support system (CDSS) using high risk pregnancy ontology
Shortage of medical professionals in the rural area has been one of the reasons why maternal mortality is still very high.Midwife family program had been introduced to overcome the shortage but the lack of skills in recognizing high risk pregnancy becomes another factor of high maternal mortality ra...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Asian Research Publishing Network (ARPN)
2015
|
Subjects: | |
Online Access: | https://repo.uum.edu.my/id/eprint/14191/1/jeas_0215_1585.pdf |
_version_ | 1825803318274818048 |
---|---|
author | Lam, Jostinah Abdullah, Mohd Syazwan Supriyanto, Eko |
author_facet | Lam, Jostinah Abdullah, Mohd Syazwan Supriyanto, Eko |
author_sort | Lam, Jostinah |
collection | UUM |
description | Shortage of medical professionals in the rural area has been one of the reasons why maternal mortality is still very high.Midwife family program had been introduced to overcome the shortage but the lack of skills in recognizing high risk pregnancy becomes another factor of high maternal mortality rate.A good prenatal care program will help to identify the danger in time and provide early management.Therefore, this paper provides solution by introducing a new architecture of clinical decision support system (CDSS) in the domain of high risk pregnancy. The proposed architecture is composed of seven main components.The ontological approach was used to develop the knowledge repository in the CDSS
architecture.The need for CDSS was investigated through interview session, questionnaire distribution and observation.In addition, the comparison with other CDSSs approach is also highlighted in the paper. |
first_indexed | 2024-07-04T05:55:00Z |
format | Article |
id | uum-14191 |
institution | Universiti Utara Malaysia |
language | English |
last_indexed | 2024-07-04T05:55:00Z |
publishDate | 2015 |
publisher | Asian Research Publishing Network (ARPN) |
record_format | eprints |
spelling | uum-141912016-04-27T06:23:53Z https://repo.uum.edu.my/id/eprint/14191/ Architecture for clinical decision support system (CDSS) using high risk pregnancy ontology Lam, Jostinah Abdullah, Mohd Syazwan Supriyanto, Eko QA76 Computer software Shortage of medical professionals in the rural area has been one of the reasons why maternal mortality is still very high.Midwife family program had been introduced to overcome the shortage but the lack of skills in recognizing high risk pregnancy becomes another factor of high maternal mortality rate.A good prenatal care program will help to identify the danger in time and provide early management.Therefore, this paper provides solution by introducing a new architecture of clinical decision support system (CDSS) in the domain of high risk pregnancy. The proposed architecture is composed of seven main components.The ontological approach was used to develop the knowledge repository in the CDSS architecture.The need for CDSS was investigated through interview session, questionnaire distribution and observation.In addition, the comparison with other CDSSs approach is also highlighted in the paper. Asian Research Publishing Network (ARPN) 2015-02 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/14191/1/jeas_0215_1585.pdf Lam, Jostinah and Abdullah, Mohd Syazwan and Supriyanto, Eko (2015) Architecture for clinical decision support system (CDSS) using high risk pregnancy ontology. ARPN Journal of Engineering and Applied Sciences, 10 (3). 1229 -1237. ISSN 1819-6608 http://www.arpnjournals.com/ |
spellingShingle | QA76 Computer software Lam, Jostinah Abdullah, Mohd Syazwan Supriyanto, Eko Architecture for clinical decision support system (CDSS) using high risk pregnancy ontology |
title | Architecture for clinical decision support system (CDSS) using high risk pregnancy ontology |
title_full | Architecture for clinical decision support system (CDSS) using high risk pregnancy ontology |
title_fullStr | Architecture for clinical decision support system (CDSS) using high risk pregnancy ontology |
title_full_unstemmed | Architecture for clinical decision support system (CDSS) using high risk pregnancy ontology |
title_short | Architecture for clinical decision support system (CDSS) using high risk pregnancy ontology |
title_sort | architecture for clinical decision support system cdss using high risk pregnancy ontology |
topic | QA76 Computer software |
url | https://repo.uum.edu.my/id/eprint/14191/1/jeas_0215_1585.pdf |
work_keys_str_mv | AT lamjostinah architectureforclinicaldecisionsupportsystemcdssusinghighriskpregnancyontology AT abdullahmohdsyazwan architectureforclinicaldecisionsupportsystemcdssusinghighriskpregnancyontology AT supriyantoeko architectureforclinicaldecisionsupportsystemcdssusinghighriskpregnancyontology |