A Comparative Study of different Techniques to predict Maternal Morbidity and Mortality Model

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Year : 2025 | Volume : 15 | Issue : 01 | Page :
    By

    Vanisha mavi,

  • Nidhi Tyagi,

  1. Research Scholar, Department of CSE Shobhit Institute of Engineering & Technology, (Deemed to be University), Meerut, Uttar Pradesh, India
  2. Pofessor, Department of CSE Shobhit Institute of Engineering & Technology, (Deemed to be University), Meerut, Uttar Pradesh, India

Abstract

Artificial intelligence (AI) encompasses a range of techniques, including machine learning and deep learning, which are increasingly utilized in the healthcare sector for tasks such as disease diagnosis and drug discovery. To achieve accurate disease diagnosis through AI, it is essential to integrate data from multiple medical sources, including ultrasound imaging, magnetic resonance imaging (MRI), mammography, genomics, and computed tomography (CT) scans, among others. This article presents a comprehensive review of AI and machine learning methodologies specifically applied to diagnosing health conditions that affect women during and after pregnancy. The study focuses on maternal health issues, examining the role of AI in identifying complications related to maternal morbidity and mortality. Furthermore, the findings from various research articles are analyzed and compared using key performance indicators like prediction rate, accuracy, sensitivity, and specificity. By evaluating these parameters, the article highlights the effectiveness of AI techniques in improving maternal healthcare outcomes.

Keywords: Artificial Intelligence, MRI, CTscan, Mammography, Genomics, Machine Learning, Maternal mortality and morbidity

[This article belongs to Research and Reviews: A Journal of Health Professions ]

How to cite this article:
Vanisha mavi, Nidhi Tyagi. A Comparative Study of different Techniques to predict Maternal Morbidity and Mortality Model. Research and Reviews: A Journal of Health Professions. 2025; 15(01):-.
How to cite this URL:
Vanisha mavi, Nidhi Tyagi. A Comparative Study of different Techniques to predict Maternal Morbidity and Mortality Model. Research and Reviews: A Journal of Health Professions. 2025; 15(01):-. Available from: https://journals.stmjournals.com/rrjohp/article=2025/view=201810


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Regular Issue Subscription Review Article
Volume 15
Issue 01
Received 15/11/2024
Accepted 11/02/2025
Published 24/02/2025
Publication Time 101 Days
175

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