Enhancing Emergency Response Through CNN-Based Injury Detection and Hospital Recommendation
Keywords:
Injury Detection, Emergency Response System, Convolutional Neural Network, Injury Severity Classification, Medical Image Analysis, Computer Vision, Hospital Recommendation System, Deep Learning in Healthcare, Automated Triage.Abstract
Traumatic injuries constitute a major cause of emergency department admissions and can quicklybecome life-threatening without timely and accurate assessment. In pre-hospital and resource-limitedenvironments, the absence of specialist expertise and advanced diagnostic tools often leads to inconsistent triage decisions
References
Litjens, G., Kooi, T., Bejnordi, B. E., et al. (2017). "A survey on deep learning in medical image analysis." Medical Image Analysis, 42: 60–88. https://doi.org/10.1016/j.media.2017.07.005
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Published
2025-05-25
How to Cite
Babu Enthoti, G.Madhu, G.Durgesh, N.Srinivasulu, B.Saikiran. (2025). Enhancing Emergency Response Through CNN-Based Injury Detection and Hospital Recommendation . Journal of Computational Analysis and Applications (JoCAAA), 34(5), 469–487. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4625
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