A new report from the Department of Computer Sciences and Engineering in Tamil Nadu, India, discusses the use of big data analytics in organ transplantation. The report proposes a modified convolutional neural network-hybrid extreme learning machine (MCNN-HELM) model to predict suitable organ donors for recipients, with a focus on minimizing waiting time and improving the quality of life for high-risk patients. The MCNN-HELM model achieves a training accuracy of 97.5% and outperforms other state-of-the-art methods. This research has been peer-reviewed and provides valuable insights into improving decision-making in organ transplantation. [Extracted from the article]
Published
2023
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