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DC Field | Value | Language |
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dc.contributor.author | Yue, W | - |
dc.contributor.author | Wang, Z | - |
dc.contributor.author | Zhang, J | - |
dc.contributor.author | Liu, X | - |
dc.date.accessioned | 2021-04-25T12:12:38Z | - |
dc.date.available | 2021-04-01 | - |
dc.date.available | 2021-04-25T12:12:38Z | - |
dc.date.issued | 2021-02-19 | - |
dc.identifier.citation | Yue, W., Wang, Z., Zhang, J. and Liu, X. (2021) 'An Overview of Recommendation Techniques and Their Applications in Healthcare', IEEE/CAA Journal of Automatica Sinica, 8 (4), pp. 701-717. doi: 10.1109/JAS.2021.1003919. | en_US |
dc.identifier.issn | 2329-9266 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/22569 | - |
dc.description.abstract | With the increasing amount of information on the internet, recommendation system (RS) has been utilized in a variety of fields as an efficient tool to overcome information overload. In recent years, the application of RS for health has become a growing research topic due to its tremendous advantages in providing appropriate recommendations and helping people make the right decisions relating to their health. This paper aims at presenting a comprehensive review of typical recommendation techniques and their applications in the field of healthcare. More concretely, an overview is provided on three famous recommendation techniques, namely, content-based, collaborative filtering (CF)-based, and hybrid methods. Next, we provide a snapshot of five application scenarios about health RS, which are dietary recommendation, lifestyle recommendation, training recommendation, decision-making for patients and physicians, and disease-related prediction. Finally, some key challenges are given with clear justifications to this new and booming field. | en_US |
dc.description.sponsorship | National Natural Science Foundation of China; Alexander von Humboldt Foundation | en_US |
dc.format.extent | 701 - 717 | - |
dc.format.medium | Print-Electronic | - |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.rights | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | collaborative filtering (CF) | en_US |
dc.subject | content-based recommendation | en_US |
dc.subject | healthcare | en_US |
dc.subject | recommendation system (RS) | en_US |
dc.title | An Overview of Recommendation Techniques and Their Applications in Healthcare | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1109/JAS.2021.1003919 | - |
dc.relation.isPartOf | IEEE/CAA Journal of Automatica Sinica | - |
pubs.issue | 4 | - |
pubs.publication-status | Published | - |
pubs.volume | 8 | - |
dc.identifier.eissn | 2329-9274 | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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FullText.pdf | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | 618.02 kB | Adobe PDF | View/Open |
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