| For: | Shahid S, Khurram H, Lim A, Shabbir MF, Billah B. Prediction of cyanotic and acyanotic congenital heart disease using machine learning models. World J Clin Pediatr 2024; 13(4): 98472 [PMID: 39654661 DOI: 10.5409/wjcp.v13.i4.98472] |
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| URL: | https://www.wjgnet.com/2219-2808/full/v13/i4/98472.htm |
| Number | Citing Articles |
| 1 |
Sana Shahid, Haris Khurram, Muhammad Ahmed Shehzad, Muhammad Aslam. Predictive model for congenital heart disease in children of Pakistan by using structural equation modeling. BMC Medical Informatics and Decision Making 2024; 24(1) doi: 10.1186/s12911-024-02774-y
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| 2 |
Jingdong Qi, Fei Zhang, Xia Zhang. Global Trends, Health Inequalities, and Relationship with Socio-Demographic Index in Congenital Heart Disease: An Analysis from 1990 to 2021. Congenital Heart Disease 2025; 20(3): 383 doi: 10.32604/chd.2025.064790
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| 3 |
Jun Zhong, Dongmei Wei, Yihang Zhuo, Minhao Yin, Yaowen Kang, Wendi Shi. Feasibility Study and Practice of Machine Learning-Based Heart Disease Prediction. 2025 8th International Conference on Electronics Technology (ICET) 2025; : 492 doi: 10.1109/ICET64964.2025.11103110
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| 4 |
Jason Jun Kit Yeow, Hui Na Chua, Muhammed Basheer Jasser, Bayan Issa, Ghassan Saleh Aldharhani. Meta-Ensemble Learning with Hybrid Resampling for Extreme Imbalanced Data Classification in Congenital Heart Disease Prediction. 2025 IEEE 15th International Conference on System Engineering and Technology (ICSET) 2025; : 336 doi: 10.1109/ICSET65917.2025.11283689
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