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DC Field | Value | Language |
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dc.contributor.author | Yadava, Arvind Kumar | - |
dc.contributor.author | Shuklaa, Rohit | - |
dc.contributor.author | Singh, Tiratha Raj | - |
dc.date.accessioned | 2022-11-16T07:02:51Z | - |
dc.date.available | 2022-11-16T07:02:51Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/8319 | - |
dc.description.abstract | Good health is an important aspect of quality of life, as nothing is more valuable, and new technologies are continually leading to tremendous advances in healthcare. The definition of healthcare is the improvement of health through prevention, treatment, and inspection of diseases (Toli and Murtagh, 2020). Accurate diagnosis is essential for medical treatment and decision-making, but it can be difficult to identify a specific disease from the stated symptoms of a patient, due to the inexact informationprovided. Thus the main job in medical diagnosis is to use expert logical reasoning to make decisions. Physician control is an effective solution for diagnosis and treatment, but it is costly. Artificial intelligence (AI) seems particularly well suited for this application (Davenport and Kalakota, 2019). | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Inc. | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Disease diagnostics | en_US |
dc.subject | Healthcare | en_US |
dc.title | Machine learning in expert systems for disease diagnostics in human healthcare | en_US |
dc.type | Book chapter | en_US |
Appears in Collections: | Book Chapters |
Files in This Item:
File | Description | Size | Format | |
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Machine Learning in expert systems for Disease Diagnostics in Human Healthcare.pdf | 1.46 MB | Adobe PDF | View/Open |
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