Agile Approach of Predicting Cardiac Disease using ANN Based on Feature Selection

Autor:	Ritu Pal, Ankur Rohilla, Reetika Koli, Rahul Kumar, Ankit Maithani, Dhajvir Singh Rai
Rok vydání:	2021
Předmět:	Artificial neural network Heart disease business.industry Computer science Feature extraction Feature selection Disease medicine.disease Machine learning computer.software_genre Agile approach medicine In patient Artificial intelligence Medical diagnosis business computer
Zdroj:	2021 International Conference on Innovative Practices in Technology and Management (ICIPTM).
Popis:	Recent study shows that almost 30% of total global deaths are caused by heart disease. Medical diagnosis is done mainly by specialist's skill and experience but sometime cases are reported of wrong diagnosis therefore the doctor advises patients to take various tests for further analysis which is very expensive and time consuming as medical databases are huge and cannot be processed quickly. In this paper we have predicted heart disease possibility in patients with the help of neural network with Feature selection. This approach was applied to the dataset to get the better results and to increase the performance by reducing the unnecessary attributes from the existing dataset.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::61b40f890f1413afe94fd85c8598bed8 https://doi.org/10.1109/iciptm52218.2021.9388325 Zobrazit plný text záznamu