| Type of Material: | Thesis |
| Title: | Recommending similar patients in a social network of patients using medical knowledge bases |
| Researcher: | Bissoyi, Swarupananda |
| Guide: | Patra, Manas Ranjan |
| Department: | Department of Computer Science |
| Publisher: | Berhampur University, Berhampur |
| Place: | Berhampur |
| Year: | 2021 |
| Language: | English |
| Subject: | Automation and Control Systems | Computer Science | Engineering and Technology | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Computer Science, Berhampur University, Berhampur, Berhampur; 2021 |
| Fulltext: | Shodhganga |
| 003 | IN-AhILN | |
| 005 | 2026-10-16 17:03:01 | |
| 008 | __ | 261016t2021||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_464368 |
| 040 | __ | |dIN-AhILN|aBRMP_760007 |
| 041 | __ | |aeng |
| 100 | __ | |eResearcher|aBissoyi, Swarupananda |
| 110 | __ | |aDepartment of Computer Science|0U-0350|dBerhampur|bBerhampur University, Berhampur|ein |
| 245 | __ | |aRecommending similar patients in a social network of patients using medical knowledge bases |
| 260 | __ | |aBerhampur|c2021|bBerhampur University, Berhampur |
| 300 | __ | |a122P.|dDVD |
| 502 | __ | |cDepartment of Computer Science, Berhampur University, Berhampur, Berhampur|d2021|bPhD |
| 518 | __ | |oDate of Award|d2022 |
| 518 | __ | |d2017|oDate of Registration |
| 518 | __ | |oDate of Completion|d2021 |
| 520 | __ | |aThe ever-increasing volume and complexity of information flowing into our daily lives via web and social media challenge us with our limited information-processing capabilities to adapt to such abundant information so as to reach at the most interesting products/services of relevance. Also called as Information Overload problem , Recommender Systems pose as a solution to this. Recommender Systems suggest users about products, services, or similar users they may be interested in, by taking into account or predicting their profiles, tastes, priorities or goals. Recommender Systems have found their way into the Healthcare domain targeting patients and caregivers. Patients of today are information savvy, ever curious to know more about what they are suffering from, and how to overcome it by getting the right information at right time. In this process, they seek solace in online communities as well as social networks which helps them to know about other patients with similar conditions sharing their experiences, |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aAutomation and Control Systems |
| 653 | __ | |aComputer Science |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aPatra, Manas Ranjan|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/451880|yShodhganga |
| 905 | __ | |afromsg |
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