A Fuzzy Expert System to Predict the Risk of Postpartum Hemorrhage
© 2019 Yussriya Hanaa Doomah, Song-Yuan Xu, Li-Xia Cao, Sheng-Lian Liang, Gloria Francisca Nuer-Allornuvor, Xiao-Yan Ying..
INTRODUCTION: The American College of Obstetricians and Gynecologists (ACOG) defines postpartum hemorrhage (PPH) as a blood loss of >500mL following vaginal delivery or >1000mL following cesarean section. PPH is widely recognized as a common cause of maternal death. However, there is currently no effective method to predict its risk of occurrence.
AIM: To develop a fuzzy expert system to predict the risk of developing PPH and to evaluate its performance in the clinical setting.
METHODS: This system was developed using MATLAB software. Mamdani inference was used to simulate reasoning of experts in the field. To evaluate the performance of the system, a dataset of 1705 patients admitted at the Labor and Delivery ward of The Second Affiliated Hospital of Nanjing Medical University from 2017-10 to 2018-04, was considered.
RESULTS: The Negative Predictive value (NPV), Positive Predictive value PPV), Specificity and Sensitivity were calculated and were 99.72%, 18.50%, 87.48% and 92.16% respectively.
CONCLUSIONS: Our findings suggest that the fuzzy expert system can be used to predict PPH in clinical settings and thus decrease maternal mortality rate due to hemorrhage.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2019 |
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| Erschienen: |
2019 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:27 |
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| Enthalten in: |
Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH - 27(2019), 5 vom: 25. Dez., Seite 318-3326 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Doomah, Yussriya Hanaa [VerfasserIn] |
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| Links: |
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| Themen: |
Journal Article |
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| Anmerkungen: |
Date Revised 13.04.2022 published: Print Citation Status PubMed-not-MEDLINE |
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| doi: |
10.5455/aim.2019.27.318-326 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM307964396 |
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| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a © 2019 Yussriya Hanaa Doomah, Song-Yuan Xu, Li-Xia Cao, Sheng-Lian Liang, Gloria Francisca Nuer-Allornuvor, Xiao-Yan Ying. | ||
| 520 | |a INTRODUCTION: The American College of Obstetricians and Gynecologists (ACOG) defines postpartum hemorrhage (PPH) as a blood loss of >500mL following vaginal delivery or >1000mL following cesarean section. PPH is widely recognized as a common cause of maternal death. However, there is currently no effective method to predict its risk of occurrence | ||
| 520 | |a AIM: To develop a fuzzy expert system to predict the risk of developing PPH and to evaluate its performance in the clinical setting | ||
| 520 | |a METHODS: This system was developed using MATLAB software. Mamdani inference was used to simulate reasoning of experts in the field. To evaluate the performance of the system, a dataset of 1705 patients admitted at the Labor and Delivery ward of The Second Affiliated Hospital of Nanjing Medical University from 2017-10 to 2018-04, was considered | ||
| 520 | |a RESULTS: The Negative Predictive value (NPV), Positive Predictive value PPV), Specificity and Sensitivity were calculated and were 99.72%, 18.50%, 87.48% and 92.16% respectively | ||
| 520 | |a CONCLUSIONS: Our findings suggest that the fuzzy expert system can be used to predict PPH in clinical settings and thus decrease maternal mortality rate due to hemorrhage | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Postpartum hemorrhage | |
| 650 | 4 | |a maternal death | |
| 650 | 4 | |a retained placenta | |
| 650 | 4 | |a uterine inertia | |
| 700 | 1 | |a Xu, Song-Yuan |e verfasserin |4 aut | |
| 700 | 1 | |a Cao, Li-Xia |e verfasserin |4 aut | |
| 700 | 1 | |a Liang, Sheng-Lian |e verfasserin |4 aut | |
| 700 | 1 | |a Nuer-Allornuvor, Gloria Francisca |e verfasserin |4 aut | |
| 700 | 1 | |a Ying, Xiao-Yan |e verfasserin |4 aut | |
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