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
Efficient heart disease prediction system using data mining techniques and neural networks
Authors Name:
Shaikh Mohd Shafique
, Dr.Dharmendra Choukse
Unique Id:
IJSDR2307009
Published In:
Volume 8 Issue 7, July-2023
Abstract:
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.
Keywords:
Data mining, KDD, ANN, cholesterol, obesity, diabetes, blood pressure.
Cite Article:
"Efficient heart disease prediction system using data mining techniques and neural networks", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 7, page no.59 - 64, July-2023, Available :http://www.ijsdr.org/papers/IJSDR2307009.pdf
Downloads:
000338719
Publication Details:
Published Paper ID: IJSDR2307009
Registration ID:207510
Published In: Volume 8 Issue 7, July-2023
DOI (Digital Object Identifier):
Page No: 59 - 64
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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