Review of Heart Disease Prediction Using AGI Models: Advancements and Challenges-Reference-Cited by-同舟云学术

Review of Heart Disease Prediction Using AGI Models: Advancements and Challenges

Published:2024-08-31 Issue: Volume: Page:181-194
ISSN:2191-6853
Container-title:Advanced Technologies and Societal Change
language:en
Short-container-title:

Author:

Haq Rashid Ul,Ali Hashim,Malik Mehak Mushtaq,Akbar Abdullah,Ouaissa Mariya,Ouaissa Mariyam,Khan Inam Ullah

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-97-3222-7_8

Reference22 articles.

1. LiveScience. Human Heart: Anatomy, Function, and Facts. livescience.com. https://www.livescience.com/34655-human-heart.html (2021). Last accessed 6 May 2023

2. García, S., Luengo, J., Herrera, F.: Data preprocessing in data mining. Vol. 72. Cham, Switzerland: Springer International Publishing (2015)

3. Karaylan, T., Klç: Prediction of heart disease using neural networks. In: 2017 international conference on computer science and engineering (UBMK), Antalya, Turkey, 2017, pp. 719–723. https://doi.org/10.1109/UBMK.2017.8093512

4. Sajja, G. S., Mustafa, M., Phasinam, K., Kaliyaperumal, K., Ventayen, R. J. M., Kassanuk, T.: Towards application of machine learning in classification and prediction of heart disease. In: 2021 second international conference on electronics and sustainable communication systems (ICESC), Coimbatore, India, 2021, pp. 1664–1669, https://doi.org/10.1109/ICESC51422.2021.9532940

5. Battula, K., Durgadinesh, R., Suryapratap, K., Vinaykumar, G.: Use of machine learning techniques in the prediction of heart disease. In: 2021 international conference on electrical, computer, communications, and mechatronics engineering (ICECCME), pp. 1–5. IEEE (2021)