Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/684
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSenbagavalli, M-
dc.date.accessioned2023-05-22T06:06:46Z-
dc.date.available2023-05-22T06:06:46Z-
dc.date.issued2022-06-06-
dc.identifier.uri10.4018/978-1-6684-4580-8-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/684-
dc.description.abstractArtificial 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.isoenen_US
dc.publisherIGI Globalen_US
dc.titleArtificial Intelligence and Medical Information Modelingen_US
dc.typeBook chapteren_US
Appears in Collections:Journal Articles

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.