Please use this identifier to cite or link to this item:
https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4524
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Karunathilaka, D. G. Ishara Nuwan | - |
dc.date.accessioned | 2021-08-11T06:49:07Z | - |
dc.date.available | 2021-08-11T06:49:07Z | - |
dc.date.issued | 2021-08-11 | - |
dc.identifier.uri | http://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4524 | - |
dc.description.abstract | Artificial intelligence (AI) is leading technology hype in the world. Because of the machine performance, low hardware cost and growth of the big data, every industry willing to have artificial intelligence-based product and services to their end customers. Rise of the artificial intelligence also make bad impact on human job security. Intelligence augmentation other hand, it closely works with humans and helps humans to make better decisions without replace them. This project aims to identify intelligence augmentation solution to big data available in health care industry with the help of supervised machine learning method. | en_US |
dc.language.iso | en | en_US |
dc.subject | Artificial Intelligence | en_US |
dc.subject | Intelligence augmentation | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Big data | en_US |
dc.subject | Supervised learning | en_US |
dc.title | Intelligence augmentation using big data towards health care | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | 2020 |
Files in This Item:
File | Description | Size | Format | |
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2016 MCS 052.pdf | 269.62 kB | Adobe PDF | View/Open |
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