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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: May 2024

Volume 9 | Issue 5

Impact factor: 8.15

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Paper Title: Machine Learning Algorithms For Assessing Long-Lasting Disease
Authors Name: S.Loknadh Reddy , S.Uma Akhil , S.Pavan Kumar , S.Adithay , G.Nivetha Sri
Unique Id: IJSDR2404114
Published In: Volume 9 Issue 4, April-2024
Abstract: Analysis of scientific facts Early detection of disease enables patient care and social offerings. Research accuracy decreases whilst the exceptional of clinical data is imperfect. In addition, distinctive areas Some areas have a awesome form of the sickness that leads to poor analysis famous In the proposed device, it affords machine mastering algorithms to successfully expect numerous diseases Frequent pathological phenomena in societies. It uses predictive fashions to exchange actual health facility information accumulated To overcome the hassle of incomplete facts, latent thing modelling is used to reconstruct missing statistics. This is Long-time period enjoy of nearby atrophy of the mind. Through unstructured and informal data from The health facility uses a system gaining knowledge of set of rules. It predicts ability illnesses via leveraging datasets including Covid-19, chronic kidney disease and coronary heart disorder. Have To our know-how, no present paintings within the medical area of massive data analytics focuses on each function Preach.
Keywords: Illness, Medical services, simulated intelligence, Calculated Relapse, Machine Learning
Cite Article: "Machine Learning Algorithms For Assessing Long-Lasting Disease", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.814 - 818, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404114.pdf
Downloads: 000338173
Publication Details: Published Paper ID: IJSDR2404114
Registration ID:210877
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 814 - 818
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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