ArticleScientific data2019
A database for using machine learning and data mining techniques for coronary artery disease diagnosis.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine learning versus conventional clinical methods in guiding management of heart failure patients-a systematic review.Heart failure reviews · 2021Pooled it
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- The Constrained Disorder Principle Overcomes the Challenges of Methods for Assessing Uncertainty in Biological Systems.Journal of personalized medicine · 2024Review
- Deep-kidney: an effective deep learning framework for chronic kidney disease prediction.Health information science and systems · 2024Article
- Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities.AIMS public health · 2024Article
- Analysis and interpretability of machine learning models to classify thyroid disease.PloS one · 2024Article
- Review
- Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment.Studies in health technology and informatics · 2022Article
- The inclusion of augmented intelligence in medicine: A framework for successful implementation.Cell reports. Medicine · 2022Review
- Efficient Model for Coronary Artery Disease Diagnosis: A Comparative Study of Several Machine Learning Algorithms.Journal of healthcare engineering · 2022Article
- Clinical Data Analysis for Prediction of Cardiovascular Disease Using Machine Learning Techniques.Computational intelligence and neuroscience · 2022Article
- Gender-based time discrepancy in diagnosis of coronary artery disease based on data analytics of electronic medical records.Frontiers in cardiovascular medicine · 2022Article
- Artificial intelligence in atherosclerotic disease: Applications and trends.Frontiers in cardiovascular medicine · 2022Review
- Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients.Scientific reports · 2021Article
- Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images.Biomedical signal processing and control · 2021Article
- Contextual embedding bootstrapped neural network for medical information extraction of coronary artery disease records.Medical & biological engineering & computing · 2021Article
- Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020).Annals of operations research · 2021Article
- GSVMA: A Genetic Support Vector Machine ANOVA Method for CAD Diagnosis.Frontiers in cardiovascular medicine · 2021Article
- lncRNA-MALAT1 expression in patients with coronary atherosclerosis and its predictive value for in-stent restenosis.Experimental and therapeutic medicine · 2020Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present the coronary artery disease (CAD) database, a comprehensive resource, comprising 126 papers and 68 datasets relevant to CAD diagnosis, extracted from the scientific literature from 1992 and 2018. These data were collected to help advance research on CAD-related machine learning and data mining algorithms, and hopefully to ultimately advance clinical diagnosis and early treatment. To aid users, we have also built a web application that presents the database through various reports.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.