An optimized XGBoost based classification model for effective analysis of heart disease prediction-Reference-Cited by-同舟云学术

An optimized XGBoost based classification model for effective analysis of heart disease prediction

Published:2023 Issue: Volume: Page:
ISSN:0094-243X
Container-title:1ST INTERNATIONAL CONFERENCE ON COMPUTATIONAL APPLIED SCIENCES & IT’S APPLICATIONS
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Author:

Yewale Deepali,Vijayaragavan S. P.,Munot Mousami

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0148268

Reference32 articles.

1. Computerised decision support systems for healthcare professionals: an interpretative review

2. K. Subhadra and B. Vikas, “Neural Network Based Intelligent System for Predicting Heart Disease,” in International Journal of Innovative Technology and Exploring Engineering (2019), vol. 8, no. 5, pp. 484–487.

3. “Know Your Risk for Heart Disease,” https://www.cdc.gov/heartdisease/risk_factors.htm (2019).

4. A.Golande and T. Pavan Kumar, “Heart Disease Prediction Using Effective Machine Learning Techniques,” International Journal of Recent Technology and Engineering (2019), Vol. -8, no. 1S4, pp. 994–950.

5. R. Buettner and M. Schunte, “Efficient machine learning based detection of heart disease,” IEEE International Conference on E-health Networking, Application & Services (2019).

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