Jeribi et al., 2023 - Google Patents
An Approach with Machine Learning for Heart Disease Risk PredictionJeribi et al., 2023
- Document ID
- 3865236347623838742
- Author
- Jeribi F
- Kaur C
- Pawar A
- Publication year
- Publication venue
- 2023 International Conference on Computational Science and Computational Intelligence (CSCI)
External Links
Snippet
Heart disease is a prominent cause of death worldwide, needing novel techniques for early detection and care. This study looks into the potential of machine learning in predicting heart illness and addresses the limitations of existing risk assessment approaches. To ensure …
- 238000010801 machine learning 0 title abstract description 65
Classifications
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- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/24—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
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