Intelligent heart disease prediction system using data mining techniques

By S. Palaniappan, Rafiah Awang. 2008 IEEE/ACS International Conference on Computer Systems and Applications, 2008

936 citations recorded by the source corpus.

Subfields: Health Information Management, Information Systems, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/0a957fe9df02e59df12dfb568b22db5d9639cf4f

How researchers see this paper

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

In Health Information Management

1. Sonali Agarwal
2. Divya Tomar
3. S. Apte
4. Amna Eleyan
5. S. Nikhar
6. Hussain Ahmad Madni
7. Zahid Anwar
8. Dina Jrab

In Information Systems

1. Ruinan Sun
2. Sonali Agarwal
3. S. Apte
4. S. Nikhar
5. Hussain Ahmad Madni
6. Zahid Anwar
7. Jianping Li
8. Amin Ul Haq

In Management Information Systems

1. Sonali Agarwal
2. S. Apte
3. S. Nikhar
4. Hussain Ahmad Madni
5. Zahid Anwar
6. Amin Ul Haq
7. Divya Tomar
8. Munam Ali Shah

Citations in the corpus

• A survey on Data Mining approaches for Healthcare (2013, methodology): “Some research work proposed an enhancement in available Data Mining methodology in order to improve the result [24-26] and some studies develop new methodology [27, 28] and framework for healthcare system [29-33].”
• Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare (2020, methodology): “[17] proposed an expert medical diagnosis system for HD identification.”
• Prediction of Heart Disease Using Machine Learning Algorithms (2016, methodology): “Data mining techniques like clusteri ng, Association Rule Mining, Classification algorithms such as Decision Tree [2], C4.”
• A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms (2018, methodology): “Palaniappan and Awang [17] designed an expert medical diagnosing heart disease system and applied machine learning techniques such as Naive Bayes, decision tree, and ANN in the system.”
• Heart Disease Prediction Using Machine Learning Algorithms (2024, background): “In 2009, Samuel et al. [14] created a medical decision support system integrating artificial neural networks and fuzzy AHP to diagnose heart disease.”
• Data mining techniques and applications — A decade review (2017, methodology): “Data mining techniques are applied to detect heart disease intelligently [35].”
• Improved Study of Heart Disease Prediction System using Data Mining Classification Techniques (2012, methodology): “ An Intelligent Heart Disease Prediction System (IHDPS) is developed by using data mining techniques Naive Bayes, Neural Network, and Decision Trees was proposed by Sellappan Palaniappan et al .[3].”