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Predicting congenital heart disease using machine learning techniques

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Alwin Poulose, Anusha Palli Valappil & Josy Sebastian. (2022) Medication recommender system for healthcare solutions. Journal of Information and Optimization Sciences 43:5, pages 1073-1080.
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Articles from other publishers (15)

Ishleen Kaur & Tanvir Ahmad. (2024) A cluster-based ensemble approach for congenital heart disease prediction. Computer Methods and Programs in Biomedicine 243, pages 107922.
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Haoming Shi, Wendy Book, Cheryl Raskind‐Hood, Karrie F. Downing, Sherry L. Farr, Mary N. Bell, Reza Sameni, Fred H. RodriguezIIIIII & Rishikesan Kamaleswaran. (2023) A machine learning model for predicting congenital heart defects from administrative data. Birth Defects Research 115:18, pages 1693-1707.
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Eka Pandu Cynthia, Suzani Binti Mohamad Samuri, Wang Shir Li, Edi Ismanto, Liza Afriyanti & M. Imam Arifandy. (2023) Improved Machine Learning Algorithm for Heart Disease Prediction Based on Hyperparameter Tuning. Improved Machine Learning Algorithm for Heart Disease Prediction Based on Hyperparameter Tuning.
D. Jeni Jeba Seeli & K. K. Thanammal. (2023) Quantitative Analysis of Gradient Descent Algorithm using scaling methods for improving the prediction process based on Artificial Neural Network. Multimedia Tools and Applications.
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Prachi Kukshal, Radha O Joshi, Ajay Kumar, Shadab Ahamad, Prabhatha Rashmi Murthy, Yogesh Sathe, Krishna Manohar, Soma Guhathakurta & Subramanian Chellappan. (2023) Case–control association study of congenital heart disease from a tertiary paediatric cardiac centre from North India. BMC Pediatrics 23:1.
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D. YASO OMKARI & SNEHAL B. SHINDE. (2023) OPPORTUNITIES AND CHALLENGES OF MACHINE LEARNING AND DEEP LEARNING TECHNIQUES IN CARDIOVASCULAR DISEASE PREDICTION: A SYSTEMATIC REVIEW. Journal of Biological Systems 31:02, pages 309-344.
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Komalpreet Kaur, Charanjit Singh & Yogesh Kumar. (2023) Diagnosis and Detection of Congenital Diseases in New-Borns or Fetuses Using Artificial Intelligence Techniques: A Systematic Review. Archives of Computational Methods in Engineering 30:5, pages 3031-3058.
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Bahar Dehghan, MohammadReza Sabri, Alireza Ahmadi, Mehdi Ghaderian, Chehreh Mahdavi, Davood Ramezani Nejad & Mohammad Sattari. (2023) Identifying the factors affecting the incidence of congenital heart disease using support vector machine and particle swarm optimization. Advanced Biomedical Research 12:1, pages 130.
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Hiteshwar Singh, Tushar Gupta, Harshita Sharma & Jagpreet Sidhu. 2023. IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges. IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges 279 295 .
Rajat Srivastava, Srabanti Maji & Trinath Panda. 2023. Advanced Computing. Advanced Computing 199 211 .
Ved Prakash Singh, Krishna Kumar Joshi & Ravi Ray Chaoudhari. (2022) Parametric Analysis of Chronic Heart Disease (CHD) Using Machine Learning. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, pages 443-452.
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Manomita Chakraborty & Saroj Kumar Biswas. (2022) Computer-Aided Heart Disease Diagnosis Using Recursive Rule Extraction Algorithms from Neural Networks. International Journal of Computational Intelligence and Applications 21:02.
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Yanji Qu, Xinlei Deng, Shao Lin, Fengzhen Han, Howard H. Chang, Yanqiu Ou, Zhiqiang Nie, Jinzhuang Mai, Ximeng Wang, Xiangmin Gao, Yong Wu, Jimei Chen, Jian Zhuang, Ian Ryan & Xiaoqing Liu. (2022) Using Innovative Machine Learning Methods to Screen and Identify Predictors of Congenital Heart Diseases. Frontiers in Cardiovascular Medicine 8.
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Hiteshwar Singh, Tushar Gupta & Jagpreet Sidhu. (2021) Prediction of Heart Disease using Machine Learning Techniques. Prediction of Heart Disease using Machine Learning Techniques.
Umm-e-Ammarah, Faisal Bukhari, Muhammad Idrees & Waheed Iqbal. (2021) Predictive Analysis of Congenital Heart Defects Prior to Birth. Predictive Analysis of Congenital Heart Defects Prior to Birth.

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