Authors:
V. Jayalakshmi, S. Belina V. J. Sara, B. M. Praveen
Addresses:
Department of Computer Science, Srinivas University, Dakshina Kannada, Karnataka, India. Department of Computer Science, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India. Department of Computer Applications, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, India. Institute of Engineering and Technology, Srinivas University, Dakshina Kannada, Karnataka, India.
Abstract:
Along with the rapid development of AI, computational informatics is also evolving in maternal healthcare data and signal processing, enabling more advanced analysis. Decision making, automation and capabilities. The influence of AI on the improvement of data-driven. The efficiency, accuracy, and responsiveness of environments are also emphasised in this study. examines how AI can shape the future of various industries. Sophisticated data, real-time processing limitations, and the inability to understand AI-based models remain. without a struggle, despite its possibilities, though it could. This paper is a Neuro-Symbolic Hybrid. The Computational Informatics Analysis (N-SHCIA) paradigm incorporates deep learning-based methods. symbolical reasoning neural architectures to enhance the explainability, scalability, and resiliency of signal processing systems. To realise the best computing. In a high-dimensional data environment, the solution maximises pattern detection, decision-making, and feature extraction using a hybrid strategy. The NSHCIA architecture can be used in diverse fields, such as industrial automation communication networks, biological signal processing, and multimedia processing. Significant measures, such as accuracy, computation cost, latency, and flexibility, are evaluated through an in-depth simulation analysis that compares the model's performance to standard artificial intelligence procedures. The findings reveal that N-SHCIA is less inaccurate and more accurate. much easier to grasp than the old ones, and this augurs well with the discipline of computational. Maternal healthcare data informatics and signal processing with AI in the future.
Keywords: Artificial Intelligence (AI); Signal Processing; Computational Informatics; Data Analysis; Neuro Symbolic; Hybrid Model; Feature Extraction; High-Dimensional Data.
Received on: 08/01/2025, Revised on: 28/04/2025, Accepted on: 11/08/2025, Published on: 05/01/2026
DOI: 10.64091/ATIHL.2026.000261
AVE Trends in Intelligent Health Letters, 2026 Vol. 3 No. 1 , Pages: 1–16