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DC Field | Value | Language |
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dc.contributor.author | Senbagavalli, M | - |
dc.date.accessioned | 2023-05-22T06:06:46Z | - |
dc.date.available | 2023-05-22T06:06:46Z | - |
dc.date.issued | 2022-06-06 | - |
dc.identifier.uri | 10.4018/978-1-6684-4580-8 | - |
dc.identifier.uri | http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/684 | - |
dc.description.abstract | Artificial intelligence (AI) is the imitation of human cognitive abilities. It's changing the way people think about medical services, thanks to increased access to medical information and rapid advancements in examination techniques. The authors look at the current state of AI in medical services and speculate on its future. Artificial intelligence can be used to analyse various types of medical data (structured and unstructured). AI approaches for structured data machine learning methods, such as the old-style support vector machine and neural network, as well as modern deep learning, and regular language processing for unstructured data are among the most well-known AI tactics. Finding and treatment suggestions, patient commitment and adherence, and managerial exercises are all important classifications of utilizations. Malignant growth, nervous system science, and cardiology, for example, are some of the major disease areas that use AI devices. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IGI Global | en_US |
dc.title | Artificial Intelligence and Medical Information Modeling | en_US |
dc.type | Book chapter | en_US |
Appears in Collections: | Journal Articles |
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