Improved Study of Heart Disease Prediction System using Data Mining Classification Techniques

By Chaitrali S. Dangare, S. Apte. 2012

439 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cardiology and Cardiovascular Medicine, Health Information Management

View Paper: https://www.semanticscholar.org/paper/f4de0213b4a5777ff39d5a94cd574713799ca221

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Sonali Agarwal
2. Narjes Nabipour
3. Senthilkumar Mohan
4. Aaqif Afzaal Abbasi
5. Mehdi Gheisari
6. Ali Akbar Movassagh
7. Mohamadtaghi Rahimi
8. Divya Tomar

In Cardiology and Cardiovascular Medicine

1. Sonali Agarwal
2. Divya Tomar

In Health Information Management

1. Sonali Agarwal
2. Senthilkumar Mohan
3. Divya Tomar

Citations in the corpus

• Heart Disease Prediction Using Machine Learning Algorithms (2024, neutral): “Cardiovascular diseases (CVDs) have been leading cause of death worldwide for several years.”
• Artificial neural networks training algorithm integrating invasive weed optimization with differential evolutionary model (2021, methodology): “In this study, the multilayer perceptron (MLP) NNs were used with a back propagation learning algorithm for detecting a pattern with disease diagnosis and prediction (Dangare and Apte 2012).”
• A survey on Data Mining approaches for Healthcare (2013, methodology): “Data Mining are also used for both analysis and prediction of various diseases [14-23].”