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Application of Deep Learning for Early Detection of Covid-19 using CT-scan Images

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Application of Deep Learning for Early Detection of Covid-19 using CT-scan Images


Dr. C. Yesubai Rubhavathi | Diofrin. J | Vishnu Durga. S | Arunachalam. R | Eben Paul Richard. S



Dr. C. Yesubai Rubhavathi | Diofrin. J | Vishnu Durga. S | Arunachalam. R | Eben Paul Richard. S "Application of Deep Learning for Early Detection of Covid-19 using CT-scan Images" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-1, February 2023, pp.1106-1113, URL: https://www.ijtsrd.com/papers/ijtsrd52792.pdf

Machine learning has a vital role in Dataset Analysis and Computer Vision field. Troubles range beginning dataset segmentation, dataset check to structure-from-motion, object recognition and view thoughtful use machine learning technique to investigate in a row starting visual data. The incidence of COVID-19 in strange part of the humanity is a most important suffering intended for every one the managerial unit of personality country. India is as well incompatible this extremely rough mission used for calculating the disease incidence along with have manage its improvement velocity from side to side a numeral of stringent events. During my job this paper on predict the corona virus is contain significance or not hand baggage in continuing region support up as health monitoring systems. The increasing difficulty in healthcare creates not as high-class as by a mature resident, punishment in lush executive most significant to harmful possessions resting on mind excellence as well as escalate think about expenses. Accordingly, present be a require designed for elegant decision support systems to facilitate tin can approve clinician’s to generate improved data’s care decision. A talented go forward be in the direction of power the continuing digitization of healthcare with the intention of generate unparalleled amount of medical information stored in Patients Health Records (PHRs) and pair it through contemporary Machine Learning (ML) toolset intended for medical decision support, along with concurrently, develop the proof stand of current datasets. The datasets are composed at KAGGLE; it is an online datasets used my paper work. The specific classifications algorithms are applied in SVM, NB and supervised learning (Decision Tree) are used. Today, gigantic measure of information is gathered in clinical databases. These databases may contain significant data embodied in nontrivial connections among manifestations and analyses. Removing such conditions from recorded information is a lot simpler to done by utilizing clinical frameworks. Such information can be utilized in future clinical dynamic.

Machine Learning, Support vector machine (SVM), K-nearest Neighbors (KNN), Decision Tree Algorithm


IJTSRD52792
Volume-7 | Issue-1, February 2023
1106-1113
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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