Difference between revisions of "Cognitive Computing"
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== Introduction == | == Introduction == | ||
| − | Cognitive computing is a method of using computerized models to simulate human thought process in complex situations where the answers might be ambiguous and uncertain. This is similar to the grey area of human thought rather than concrete black and white process that apply to many workflows in clinical information systems. It can involve [[artificial intelligence]], machine learning and [[Natural language processing (NLP)]]. Cognitive computing systems are often based on artificial neural networks which are inspired by the human brain and are able to learn from data and improve their performance over time. | + | Cognitive computing is a method of using computerized models to simulate human thought process in complex situations where the answers might be ambiguous and uncertain. <ref name="The role of big data and cognitive computing in the learning process">https://www.iris.unina.it/bitstream/11588/673942/1/1-s2.0-S1045926X1530046X-main.pdf</ref> This is similar to the grey area of human thought rather than concrete black and white process that apply to many workflows in clinical information systems. It can involve [[artificial intelligence]], machine learning and [[Natural language processing (NLP)]]. Cognitive computing systems are often based on artificial neural networks which are inspired by the human brain and are able to learn from data and improve their performance over time. |
== Cognitive Computing in Healthcare == | == Cognitive Computing in Healthcare == | ||
Systems using cognitive computing can aid in diagnosing diseases, developing new treatments and managing patient care. | Systems using cognitive computing can aid in diagnosing diseases, developing new treatments and managing patient care. | ||
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| + | == References == | ||
| + | <references/> | ||
Revision as of 21:46, 29 April 2024
Submitted by Ravi Janumpally
Introduction
Cognitive computing is a method of using computerized models to simulate human thought process in complex situations where the answers might be ambiguous and uncertain. [1] This is similar to the grey area of human thought rather than concrete black and white process that apply to many workflows in clinical information systems. It can involve artificial intelligence, machine learning and Natural language processing (NLP). Cognitive computing systems are often based on artificial neural networks which are inspired by the human brain and are able to learn from data and improve their performance over time.
Cognitive Computing in Healthcare
Systems using cognitive computing can aid in diagnosing diseases, developing new treatments and managing patient care.
