AI is now used to analyze large datasets, which can subsequently be used to predict outcomes and provide patient insights. In this paper, we aim to address the challenge of insufficient medical data, which in turn hin...
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Frequent falls among the elderly pose a significant risk to their health and well-being. Predicting fall risks using sensor technology plays a crucial role in managing and preventing such incidents. This study employe...
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Preterm birth (PTB) is a significant health issue, leading to neonatal mortality and morbidity worldwide. However, effective forecasting model may assist to reduce the rate of PTB cases. In this study, three different...
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Oral cancer (OC)is frequently occurring cancer that affects various areas within the oral cavity. Despite the advancement of sophisticated diagnostic and therapeutic techniques, the morbidity and mortality rates assoc...
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Effective treatment of brain tumours depends on early identification of tumour tissues. Categorizing tumors is essential for its early identification. In order to split and categorise brain tumours using MRI images, v...
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The dynamism of our digital universe systems presents a key challenge for predictive analytics. Ensuring the model's ability to generalize beyond the training data is crucial for reliable predictions. Recent resea...
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In today's world, as ecological challenges continue to rise, the importance of environmental monitoring and conservation cannot be overstated. These efforts play a vital role in countering the adverse impacts of h...
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Breast cancer (BC) continues to be a prominent issue in global public health, emphasizing the need for precise and timely detection. This paper employs a deep learning (DL) approach to introduce an extensive methodolo...
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Blockchain technology has become a pivotal asset in many industries, particularly Food Supply Chain Management. This technology, renowned for its capacity to preserve data immutably and expedite tracking across the in...
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