Efficient heart disease prediction system using data mining techniques and neural networks
Shaikh Mohd Shafique
, Dr.Dharmendra Choukse
Data mining, KDD, ANN, cholesterol, obesity, diabetes, blood pressure.
Data mining is gaining importance in every field such as health industry, e-commerce, marketing, IT sector, Artificial Intelligence, Machine learning and Data science, Business and Finance,Govt organizations etc .In modern day to day life and unnecessary tensions and thinking human beings are suffering from serious health problems such as diabetes and heart disease. Due to busy life schedule and no timely food and rest leads to acidity, diabetes, blood pressure and risk for heart disease. The health care industry is rich in information but poor in knowledge. Various data mining techniques are used to predict the heart disease from the data sets. Data mining is a component of a wider process called knowledge discovery from databases. It involves scientists from a wide range of disciplines such as computer scientists, mathematicians and statisticians, as well as those working in the fields such as machine learning, data science and artificial intelligence, information retrieval and pattern recognition. Before a data set can be mined, it first has to be cleaned which removes errors and ensures consistency and takes mining techniques time is reduced in detecting missing values into account. By using data the disease with much accuracy.
"Efficient heart disease prediction system using data mining techniques and neural networks", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 7, page no.59 - 64, July-2023, Available :https://ijsdr.org/papers/IJSDR2307009.pdf
Volume 8
Issue 7,
July-2023
Pages : 59 - 64
Paper Reg. ID: IJSDR_207510
Published Paper Id: IJSDR2307009
Downloads: 000347227
Research Area: Computer Engineering
Country: bhusawal/jalgaon, Maharashtra, 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
