Artificial Intelligence in Healthcare
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Scope of this subject
This cluster of papers focuses on the application of machine learning, big data analytics, and data mining techniques in healthcare and medicine. It covers topics such as medical diagnosis, classification models, heart disease prediction, and the use of support vector machines and logistic regression. The cluster emphasizes the potential of machine learning in improving healthcare outcomes through advanced data analysis.
OpenAlex generated this cluster description with an LLM. It describes research grouping, not verified findings.
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Research vocabulary
heart disease prediction; diabetes prediction; disease prediction; medical data mining; medical data analysis; symptom-based diagnosis; Pima Indians diabetes dataset; cardiovascular disease prediction; medical data classification; stroke risk prediction; diabetes risk prediction; Wisconsin Breast Cancer dataset; early detection of diabetes; diabetes classification; heart disease classification; breast cancer prediction; Cleveland heart disease dataset; UCI heart disease dataset; diabetes detection; machine learning in healthcare; Gaussian naive Bayes; CKD prediction; heart failure prediction; liver disease prediction; heart attack prediction
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Numeric address and provenance
Morton address: 36253374418784004 · morton4x16-v1
Coordinates: (4, 36, 3605, 11396). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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