Preterm Birth Detection System

Author(s)	Ms. Setty Maheswari, Ms. Priya R, Ms. Sanjana P Shetty, Mr. Allwin Raja, Vijayakumari G
Country	India
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.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-19
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.42107
Short DOI	https://doi.org/g9f4xj

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