Abstract
The development of Artificial Intelligence (AI) technology is used to minimize the risk of maternal disorders during pregnancy. Maternal health needs to be monitored so as not to cause problems during the baby's birth. The purpose of this study is to provide a literature review from 2017 to 2023. The method used is Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). This study is a basis for researchers to help solve maternal health problems using AI. This technology is proven to detect and predict problems during pregnancy, thereby reducing maternal and infant mortality and preventing abnormalities in the development process. In addition, AI can help improve medical personnel's performance by minimizing human error. This study also presents trends in AI problems and methods used. However, the rapid development of AI methods has not provided novelty in solving maternal pregnancy issues because researchers rarely implement them on a wider scope of problems. Furthermore, it needs to be developed with other methods, such as simulation.
| Original language | English |
|---|---|
| Title of host publication | Methods and Applications for Modeling and Simulation of Complex Systems - 22nd Asia Simulation Conference, AsiaSim 2023, Proceedings |
| Editors | Fazilah Hassan, Noorhazirah Sunar, Mohd Ariffanan Mohd Basri, Mohd Saiful Azimi Mahmud, Mohamad Hafis Izran Ishak, Mohamed Sultan Mohamed Ali |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 289-306 |
| Number of pages | 18 |
| ISBN (Print) | 9789819972395 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 22nd Asia Simulation Conference, AsiaSim 2023 - Langkawi, Malaysia Duration: 25 Oct 2023 → 26 Oct 2023 |
Publication series
| Name | Communications in Computer and Information Science |
|---|---|
| Volume | 1911 CCIS |
| ISSN (Print) | 1865-0929 |
| ISSN (Electronic) | 1865-0937 |
Conference
| Conference | 22nd Asia Simulation Conference, AsiaSim 2023 |
|---|---|
| Country/Territory | Malaysia |
| City | Langkawi |
| Period | 25/10/23 → 26/10/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- caesarian section
- Health status
- Preeclampsia
- Pregnancy disorders
- Systematic reviews
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