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Artificial Intelligence in Human Health: a Sociotechnical Approach

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dc.contributor.author Asst.Prof.Jisha J Nair
dc.date.accessioned 2020-07-01T11:43:37Z
dc.date.available 2020-07-01T11:43:37Z
dc.date.issued 2018-11
dc.identifier.issn 2455-2631
dc.identifier.uri http://202.88.229.59:8080/xmlui/handle/123456789/2575
dc.description.abstract Artificial intelligence (AI) in healthcare is the use of algorithms and software to inexact human cognition in the analysis of complex medical data. The primary aim of health-related AI applications is to analyze relationships between prevention or treatment procedures and patient outcomes. For many years, by necessity general practice in medicine has been to gather data and make generalizations. Now as we are in an age where masses of data can be collected and analyzed very quickly, personalizing treatment based on specific knowledge is becoming more feasible.This paper presents a study of various applications of artificial intelligence in healthcare system and tool and devices used in it. en_US
dc.language.iso en en_US
dc.subject AI, Robotics, ML, NLP en_US
dc.title Artificial Intelligence in Human Health: a Sociotechnical Approach en_US
dc.type Article en_US


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