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Published Paper Details:
AI-Driven Healthcare System for Doctor Recommendation based on Deep Vectorized Grey Wolf Optimizer with Resnet50- Convolution Neural Network
Authors
S Dineshkumar,S Arunkumar,Mr. S. Prabhu
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Keywords
Artificial Intelligence, Healthcare, Doctor Recommendation, Deep Learning, Convolutional Neural Network, Grey Wolf Optimizer, Feature Importance, Risk Analysis.
Abstract
Artificial intelligence plays a vital role for advancing decision taken through various services especially for healthcare decisions to make analyses, solving and recommendations. Throughout healthcare data from patients are analyzed using machine learning and deep learning models. By identifying disease affected feature and related treatment for doctor recommendation is important for right progress medications. Traditional methods are failed to analyze the feature importance of relational properties to find the proper recommendation which affects due to improper data decisions leads poor accuracy from false rates. To resolve this problem, the paper proposed an AI-Driven Healthcare System for Doctor Recommendation based on deep vectorized Grey Wolf Optimizer (GWO) with Resnet50- Convolution Neural Network for identifying disease related treatment and doctor recommendation. The initially the Z score normalization is carried out to healthcare dataset to normalize the dataset with verified margins. Then disease relational impact score is analyzed using support deep vector scar function. depending on the feature impact, the mutual dependencies of feature rate is evaluated with grey wolf optimization and classification is done with Resnet50- CNN of categorize the patient dependent doctors for recommendation. The implementation result proves best precision rate up to 95.2 % high, recall up to gain 94.8 % high with f1 score 96.5 % well compared to the existing system with redundant false rate. The proposed system well suitable for disease related risk analysis and recommendation for diagnosis with specialist doctor recommendation for immediate treatment depending on the risk by class.
IJCRT's Publication Details
Unique Identification Number - IJCRT25A5138
Paper ID - 287011
Author type - Indian Author
Page Number(s) - j974-j985
Pubished in - Volume 13 | Issue 5 | May 2025
DOI (Digital Object Identifier) -
No Of Downloads - 77
Author Country - India, -, -, -, -, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT25A5138
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S Dineshkumar,S Arunkumar,Mr. S. Prabhu, "AI-Driven Healthcare System for Doctor Recommendation based on Deep Vectorized Grey Wolf Optimizer with Resnet50- Convolution Neural Network", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 5, pp.j974-j985, May 2025, Available at :http://www.ijcrt.org/papers/IJCRT25A5138.pdf
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