Preterm Birth Detection System

Preterm birth (PTB), defined as childbirth occurring before 37 weeks of gestation, is a major global health issue and the primary cause of mortality in children under five. Early detection of PTB is crucial to initiate timely interventions and prevent complications such as low birth weight and long-term developmental issues. However, conventional diagnostic methods, including ultrasounds and biochemical tests, often face limitations in terms of accessibility and accuracy. With the growing availability of clinical and physiological data during pregnancy, machine learning offers a promising alternative for early and cost-effective PTB prediction.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-04-19
DOI
https://doi.org/10.36948/ijfmr.2025.v07i02.42107
Citations
1
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.71
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article

Preterm Birth Detection System

S Maheswari, Anita Raja, Shrimati Shetty, R Priya et al.
1 citations
International Journal For Multidisciplinary Research
IoT and GPS-based Vehicle Safety Systems
0.71
article

Preterm Birth Detection System

S Maheswari, Anita Raja, Shrimati Shetty, R Priya, G - Vijayakumari
article en
1 citations

Abstract

Preterm birth (PTB), defined as childbirth occurring before 37 weeks of gestation, is a major global health issue and the primary cause of mortality in children under five. Early detection of PTB is crucial to initiate timely interventions and prevent complications such as low birth weight and long-term developmental issues. However, conventional diagnostic methods, including ultrasounds and biochemical tests, often face limitations in terms of accessibility and accuracy. With the growing availability of clinical and physiological data during pregnancy, machine learning offers a promising alternative for early and cost-effective PTB prediction.

International Journal For Multidisciplinary ResearchVol. 7(2)
Openalex Percentile: Top 34%
IoT and GPS-based Vehicle Safety Systems
0.71
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