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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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Published Paper Details:
COMPARING VARIOUS NEURAL BASED LEARNING MODELS FOR HEALTHCARE APPLICATIONS
Authors
Kadaru Deepashikha
Downlaod Center
Keywords
Neural network, Healthcare, Deep Learning, CNN.
Abstract
Having access to quality health care is crucial to surviving in life. However, getting an appointment with a doctor when you're sick can be difficult. The health care sector is expanding and has a profound impact on many facets of human existence. The healthcare sector is developing in tandem with technological innovation. Rapid technological advancements in the medical sciences promise improved methods of disease prevention, diagnosis, and treatment. Artificial intelligence (AI) is undergoing a sea change due to its numerous applications; for instance, it is reshaping the healthcare industry by allowing for better monitoring of patients with chronic diseases. Researchers have their work cut out for them as they try to streamline the architecture and management of intelligent delivery systems as a whole. The vast majority of these systems are driven by cutting-edge learning algorithms like Convolution Neural Network. The Convolutional Neural Network (CNN) algorithm is frequently used as an illustrative example of DL architecture. With the arrival of CNN hardware accelerators and a subsequent increase in the quantity of available annotated data, the field of CNN research and development has experienced a recent uptick, resulting in benchmarks being implemented on a wide range of different applications. For this meta-analysis, researchers looked for publications published between January 1, 2012 and June 6, 2022 in the databases Ovid-MEDLINE, Embase, Science Citation Index, and Conference Proceedings Citation Index. It was considered valid study to compare the diagnostic precision of deep learning models to that of healthcare professionals utilising medical imaging.
IJCRT's Publication Details
Unique Identification Number - IJCRT2210422
Paper ID - 226812
Author type - Indian Author
Page Number(s) - d643-d655
Pubished in - Volume 10 | Issue 10 | October 2022
DOI (Digital Object Identifier) -
No Of Downloads - 106
Author Country - India, -, -, -, -, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2210422
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Kadaru Deepashikha, "COMPARING VARIOUS NEURAL BASED LEARNING MODELS FOR HEALTHCARE APPLICATIONS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 10, pp.d643-d655, October 2022, Available at :http://www.ijcrt.org/papers/IJCRT2210422.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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