A Cardiac Deep Learning Model (CDLM) to Predict and Identify the Risk Factor of Congenital Heart Disease
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[1] J. Newburger,et al. Preterm congenital heart disease and neurodevelopment: the importance of looking beyond the initial hospitalization , 2023, Journal of Perinatology.
[2] Manik Rakhra,et al. Monitoring Cardiovascular Problems in Heart Patients Using Machine Learning , 2023, Journal of healthcare engineering.
[3] Jing Zhang,et al. Bayesian Inference and Dynamic Neural Feedback Promote the Clinical Application of Intelligent Congenital Heart Disease Diagnosis , 2023, Engineering.
[4] Kavitha Chaduvula,et al. A Real and Accurate Ultrasound Fetal Imaging Based Heart Disease Detection Using Deep Learning Technology , 2022, International Journal of Integrated Engineering.
[5] N. Adhikari,et al. deep DNA machine learning model to classify the tumor genome of patients with tumor sequencing , 2022, International journal of health sciences.
[6] Lal Hussain,et al. A Bayesian Dynamic Inference Approach Based on Extracted Gray Level Co-Occurrence (GLCM) Features for the Dynamical Analysis of Congestive Heart Failure , 2022, Applied Sciences.
[7] Kaouter Karboub,et al. A Machine Learning Based Discharge Prediction of Cardiovascular Diseases Patients in Intensive Care Units , 2022, Healthcare.
[8] U. Lilhore,et al. PREDICTIVE ANALYSIS OF HEART DISEASES WITH MACHINE LEARNING APPROACHES , 2022, Malaysian Journal of Computer Science.
[9] Jiang Li,et al. Building a Risk Prediction Model for Postoperative Pulmonary Vein Obstruction via Quantitative Analysis of CTA Images , 2022, IEEE Journal of Biomedical and Health Informatics.
[10] A. W. Mohamed,et al. Clinical Data Analysis for Prediction of Cardiovascular Disease Using Machine Learning Techniques , 2022, Comput. Intell. Neurosci..
[11] Howard H. Chang,et al. Using Innovative Machine Learning Methods to Screen and Identify Predictors of Congenital Heart Diseases , 2022, Frontiers in Cardiovascular Medicine.
[12] Shanchen Pang,et al. RLDS: An explainable residual learning diagnosis system for fetal congenital heart disease , 2021, Future Gener. Comput. Syst..
[13] Wing W. Y. Ng,et al. An automatic framework for perioperative risks classification from retinal images of complex congenital heart disease patients , 2021, Int. J. Mach. Learn. Cybern..
[14] Shahab U. Ansari,et al. Detection of subclinical rheumatic heart disease in children using a deep learning algorithm on digital stethoscope: a study protocol , 2021, BMJ Open.
[15] Joseph C. Wu,et al. Race and Genetics in Congenital Heart Disease: Application of iPSCs, Omics, and Machine Learning Technologies , 2021, Frontiers in Cardiovascular Medicine.
[16] Jalal S. Alowibdi,et al. Machine learning based congestive heart failure detection using feature importance ranking of multimodal features. , 2020, Mathematical biosciences and engineering : MBE.
[17] R. Katarya,et al. Machine Learning Techniques for Heart Disease Prediction: A Comparative Study and Analysis , 2020 .
[18] Zhouwang Yang,et al. Additive Parameter for Deep Face Recognition , 2020 .
[19] Amjad Ali,et al. Detecting Congestive Heart Failure by Extracting Multimodal Features and Employing Machine Learning Techniques , 2020, BioMed research international.
[20] Masood Ur Rehman,et al. A Unit Softmax with Laplacian Smoothing Stochastic Gradient Descent for Deep Convolutional Neural Networks , 2019, INTAP.
[21] R. Vullings. Fetal Electrocardiography and Deep Learning for Prenatal Detection of Congenital Heart Disease , 2019, 2019 Computing in Cardiology (CinC).
[22] Aditi Gavhane,et al. Prediction of Heart Disease Using Machine Learning , 2018, 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA).
[23] Han Yang,et al. The Prevalence of Congenital Heart Disease among School-Age Children in China: A Meta-Analysis and Systematic Review , 2023, Congenital Heart Disease.
[24] M. Ajčević,et al. Interpretable machine learning models to support differential diagnosis between Ischemic Heart Disease and Dilated Cardiomyopathy , 2022, KES.
[25] K. Moustakas,et al. Cardiovascular Disease Risk Prediction with Supervised Machine Learning Techniques , 2022, ICT4AWE.
[26] Javid Ahmad,et al. IoT-TPMS: An innovation development of triangular patient monitoring system using medical internet of things , 2022 .
[27] Qianjun Jia,et al. Artificial Intelligence-based Computed Tomography Processing Framework for Surgical Telementoring of Congenital Heart Disease , 2021, ACM J. Emerg. Technol. Comput. Syst..
[28] Edara Srinivasa Reddy,et al. Prediction of Sudden Health Crises Owing to Congestive Heart Failure with Deep Learning Models , 2021, Rev. d'Intelligence Artif..
[29] A. B. Arockia Christopher,et al. Prediction of Cardiovascular Disease using Machine Learning , 2021 .