INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
One of the most serious illnesses that can affect the human body is liver cancer. To save human lives, this illness must be diagnosed as soon as possible. Eliminating waste produced by creatures and preserving essential chemicals needed by the body are the liver's two main functions. Around the globe, liver disease affects 4.5% to 9.5% of individuals. Currently, liver function blood test and scan results are analysed to identify illnesses linked to the liver. It is more costly and takes longer time. Machines can execute a job repeatedly without getting tired, but humans do. As a result of technological advancements, machine learning algorithms can now anticipate the onset of illness. The Indian Liver Patient dataset, which has 583 cases and 11 attributes, was obtained from the Kaggle database. The information is randomly split into 507 and 76 intsances, which are then used to train and test the model, respectively. On a sample of 76 occurrences, the suggested machine learning model produced accuracy of 94.7%.
Keywords:
Machine Learning, Data mining, Decision Stump, Liver Disease, Ensembling Technique
Cite Article:
"Liver Disease Prediction Using Decision Stump and Naive Baye's Algorithms(Ensembling Technique)", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.c261-c267, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304233.pdf
Downloads:
000118750
ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Facebook Twitter Instagram LinkedIn