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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 117
Article Submitted : 21307
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Total Authors : 22301
Total Reviewer : 802
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| Paper Title: | Classify Foetal Health in Order to Predict Foetal and Maternal Mortality |
| Authors Name: | Sameedha More |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_186960
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| Published Paper Id: | IJRTI2305217 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | The United Nation’s Sustainable Development Goals reflect that reduction in perinatal mortality or infant mortality is an indicator of human progress. In a study conducted by the World Health Organization in 2017, everyday approximately 810 women died from preventable causes related to pregnancy and childbirth. Most maternal deaths are avoidable, as the health-care solutions to prevent or manage complications are well known. During the third trimester of the pregnancy, regular cardiotocography (CTG) tests are conducted to monitor the health of the foetus to foresee signs of a high-risk pregnancy. We use available CTG data and develop a classifier using existing machine learning techniques. We apply various preprocessing methods to get higher accuracy results and train and test our data on seven classification models out of which random forest classifier gave the highest accuracy. |
| Keywords: | Machine learning, Fetal health, CTG report, Random forest. |
| Cite Article: | "Classify Foetal Health in Order to Predict Foetal and Maternal Mortality", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 5, page no.2204 - 2207, May-2023, Available :http://www.ijrti.org/papers/IJRTI2305217.pdf |
| Downloads: | 000205271 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2305217
Registration ID:186960
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 2204 - 2207 Country: Pune, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2305217 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2305217 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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