A Review of Expert System for Identification Various Risk in Pregnancy

Damaraji, Galih Malela and Permanasari, Adhistya Erna and Hidayah, Indriana (2020) A Review of Expert System for Identification Various Risk in Pregnancy. 2020 3rd International Conference on Information and Communications Technology, ICOIACT 2020. 99 - 104.

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Abstract

The rapid growth of information technology allows us to create new technologies that can be applied later on to other fields. The thing that is developing is an expert system where this technology can later be applied to the medical world, especially in identifying risks during pregnancy. Ifsuch risks can be detected earlier, preventive steps can help expectant mothers and health workers.The Systematic Literature Review will address different approaches inside the expert framework, which can be used to identify early symptoms encountered by pregnant women. The whole process to be identified comes from a variety of available sources of literature. A total of 17 papers reviewed were published between 1985 and 2019. From this study, it can be inferred that premature birth and hypertension threats are the most observed. Rule-based systems and Artificial neural networks are the most commonly used approaches. © 2021 Elsevier B.V., All rights reserved.

Item Type: Article
Additional Information: Cited by: 1
Uncontrolled Keywords: Expert systems; Neural networks; Obstetrics; Pregnant woman; Rapid growth; Systematic literature review; Whole process; Health risks
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering > Electrical and Information Technology Department
Depositing User: Sri JUNANDI
Date Deposited: 10 Oct 2025 04:05
Last Modified: 10 Oct 2025 04:05
URI: https://ir.lib.ugm.ac.id/id/eprint/22068

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