DIAGNOSIS OF STARTING STAGE LUNG CANCER DETECTION USING MACHINE LEARNING
Diagnosis Of Lung Cancer ,Classification Techniques, Neural Network, ,Disease
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.
"DIAGNOSIS OF STARTING STAGE LUNG CANCER DETECTION USING MACHINE LEARNING", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 12, page no.214 - 222, December-2019, Available :https://ijsdr.org/papers/IJSDR1912044.pdf
Volume 4
Issue 12,
December-2019
Pages : 214 - 222
Paper Reg. ID: IJSDR_191180
Published Paper Id: IJSDR1912044
Downloads: 000347494
Research Area: Management
Country: Thanjavur, tamilnadu, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
