Analysis of neural networks-based heart disease prediction system

Zoltan Szucs

Heart disease is one of the major reasons for the increase in death rates. Healthcare is one amongst the most important beneficiaries of huge knowledge & analytics, extracting medical data becoming more and more necessary for prediction and treatment of high death rate due to heart attack. The objective of the study is to analyze different research using different machine learning and deep learning techniques to conclude which is more effective.

Machine learning

The value of machine learning technology is recognized well in Health care industry, which has a large pool of data. It helps medical experts to predict the disease and leads to improvise the treatment.

Artificial Neural Network

An ANN is a multi-layer network containing input, hidden and output neurons. It is trained to teach the problem-solving technique to the network using training data, the training data being validated to stop when it is over fitting in the network and to check the performance

Deep learning

DL are systems that make their own decisions based on intelligence. The advantage of DL is that it allows automatic feature extraction and makes feature learning easier. This approach helps to discover the structure in the data.

Performance analysis of Heart disease prediction using ML and DL

Conclusions

Most of the research works used classification methods such as Association rule mining, Naïve Bayes, Decision tree, ANN, and fuzzy logic for predicting heart diseases. From the results, it is inferred that the performance of the classifier is improved with the Feature subset selection.

Neural network is a training method which works similar to the human brain, and it is an effective technique for predicting the relationship between both the input and the output.

Applying machine learning techniques to medical data helps to predict disease accurately.

Deep learning technique is necessary to process the vast and complex data in the medical field.

From the results, artificial neural network is providing the best performance for heart disease prediction.

 

REFERENCES:

1.     Rajamhoana, S., Devi, C. A., Umamaheswari, K., Kiruba, R., Karunya, K., & Deepika, R. (2018). Analysis of Neural Networks Based Heart Disease Prediction System. 11th International Conference on Human System Interaction (HSI). doi:10.1109/hsi.2018.8431153