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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: January 2023

Volume 8 | Issue 1

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Paper Title: INTEGRATION OF MULTI-MODAL BIOMEDICAL DATA TO PREDICT CANCER GRADE AND PATIENT SURVIVAL
Authors Name: R.Akila , Dr.S.Amaresan
Unique Id: IJSDR2006112
Published In: Volume 5 Issue 6, June-2020
Abstract: The early detection can be useful in curing the sickness completely. So the obligation of technique to notice the happening of development protuberance in early juncture is escalating. A contamination that is commonly misdiagnosed is lung cancer. Earlier diagnosis of Lung Cancer saves enormous lives, failing which may lead to other severe problems causing unexpected mortal end. Its cure rate and prediction depends for the most part on the early detection and diagnosis of the disease. One of the most common forms of medical malpractice globally is an error in diagnosis. Knowledge discovery and data mining have found numerous applications in commerce and scientific domain. Valuable knowledge can be discovered from capitulation of data taking away techniques in healthcare system. In work, briefly examine the potential use of classification based data mining techniques such as Rule based, Decision tree, Naïve Bayes and fake Neural Network to massive volume.
Keywords: Diagnosis Of Lung Cancer ,Classification Techniques, Neural Network, ,Disease
Cite Article: "INTEGRATION OF MULTI-MODAL BIOMEDICAL DATA TO PREDICT CANCER GRADE AND PATIENT SURVIVAL", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 6, page no.673 - 681, June-2020, Available :http://www.ijsdr.org/papers/IJSDR2006112.pdf
Downloads: 000201506
Publication Details: Published Paper ID: IJSDR2006112
Registration ID:192031
Published In: Volume 5 Issue 6, June-2020
DOI (Digital Object Identifier):
Page No: 673 - 681
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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