Enhancing Predictive Accuracy in Healthcare: A Hybrid Deep Learning Approach Integrating Electronic Health Records and Medical Imaging

Indu Sharma

Enhancing Predictive Accuracy in Healthcare: A Hybrid Deep Learning Approach Integrating Electronic Health Records and Medical Imaging

Authors: Indu Sharma

Published: 2025-04-28 18:54:04.942

Abstract

The integration of Artificial Intelligence (AI) into healthcare holds immense potential for improving diagnostic accuracy, predicting disease progression, and personalizing treatment plans. This paper presents a novel hybrid deep learning approach that leverages both Electronic Health Records (EHRs) and medical imaging data to enhance predictive accuracy in healthcare applications. The proposed model integrates Convolutional Neural Networks (CNNs) for image analysis with Recurrent Neural Networks (RNNs) for sequential data processing from EHRs. We demonstrate the effectiveness of this hybrid architecture through experiments on a dataset comprising patient records and medical images, showing significant improvements in prediction accuracy compared to single-modality approaches and traditional machine learning models. The findings suggest that the synergistic combination of structured and unstructured data provides a more comprehensive patient representation, leading to more accurate and reliable predictive models for healthcare decision-making. We further explore the model's explainability and potential for clinical integration.

Keywords

Deep Learning, Healthcare, Electronic Health Records (EHR), Medical Imaging, Predictive Modeling, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Hybrid Models, Disease Prediction, Machine Learning

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How to Cite

Indu Sharma, (2025-04-28 18:54:04.942). Enhancing Predictive Accuracy in Healthcare: A Hybrid Deep Learning Approach Integrating Electronic Health Records and Medical Imaging. JANOLI International Journal of Artificial Intelligence and its Applications, Volume EOCMPeqBj5R9ZDur0Rlk, Issue 1.

ISSN: 3048-6815

JANOLI International Journal of
Artificial Intelligence and its Applications ( JIJAIA )