dc.contributor.author |
Rahman, Al-Zami |
|
dc.date.accessioned |
2020-10-28T09:32:55Z |
|
dc.date.available |
2020-10-28T09:32:55Z |
|
dc.date.issued |
2019-11-15 |
|
dc.identifier.citation |
[1] Ariyur Mahadevan Abirami and Abdulkhader Askarunisa. \Sentiment anal- ysis model to emphasize the impact of online reviews in healthcare industry". In: Online Information Review 41.4 (2017), pp. 471{486. [2] Sonja Bachus et al. Healthcare provider recommendation system. US Patent App. 11/181,158. Jan. 2006. [3] Jorge Carrillo-de-Albornoz, Javier Rodr guez Vidal, and Laura Plaza. \Fea- ture engineering for sentiment analysis in e-health forums". In: PloS one 13.11 (2018), e0207996. [4] Sunir Gohil, Sabine Vuik, and Ara Darzi. \Sentiment analysis of health care tweets: review of the methods used". In: JMIR public health and surveillance 4.2 (2018), e43. [5] Qiwei Han et al. \A Hybrid Recommender System for Patient-Doctor Match- making in Primary Care". In: 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA). IEEE. 2018, pp. 481{490. [6] Jahangir AM Khan, Sayem Ahmed, and Timothy G Evans. \Catastrophic healthcare expenditure and poverty related to out-of-pocket payments for healthcare in Bangladesh|an estimation of nancial risk protection of uni- versal health coverage". In: Health policy and planning 32.8 (2017), pp. 1102{ 1110. [7] Choon-oh Lee et al. \A framework for personalized healthcare service recom- mendation". In: HealthCom 2008-10th International Conference on e-health Networking, Applications and Services. IEEE. 2008, pp. 90{95. [8] Jakob Nielsen and Rolf Molich. \Heuristic evaluation of user interfaces". In: Proceedings of the SIGCHI conference on Human factors in computing systems. ACM. 1990, pp. 249{256. 47 [9] Md Mizanur Rahman et al. \Health-related nancial catastrophe, inequality and chronic illness in Bangladesh". In: PloS one 8.2 (2013), e56873. [10] Lisa H Rogers et al. Physician recommendation system. US Patent 8,103,524. Jan. 2012. [11] Ben Shneiderman, Catherine Plaisant, and Bradford W Hesse. \Improving healthcare with interactive visualization". In: Computer 46.5 (2013), pp. 58{ 66. [12] V Subramaniyaswamy et al. \An ontology-driven personalized food recom- mendation in IoT-based healthcare system". In: The Journal of Supercom- puting 75.6 (2019), pp. 3184{3216. [13] Elizabeth F Wenghofer, A Paul Williams, and Daniel J Klass. \Factors af- fecting physician performance: implications for performance improvement and governance". In: Healthcare Policy 5.2 (2009), e141. [14] Yusrita Zolke i. \Evaluating the Concept of Choice in Healthcare". In: The Malaysian journal of medical sciences: MJMS 24.6 (2017), p. 92. 48 |
en_US |
dc.identifier.uri |
http://hdl.handle.net/123456789/613 |
|
dc.description |
Supervised byMr. Hasan Mahmud
Assistant Professor
Department of Computer Science and Engineering,
Islamic University of Technology (IUT) |
en_US |
dc.description.abstract |
Doctor selection process for the treatment of a particular disease is the primary
step of personal healthcare. Due to lack of information patients always seek doc-
tor recommendation from others. The recommendation they get in return is also
not based on any actual data. That recommendation is mostly based on personal
experience of other people. Sometimes it may happen that, the person who is rec-
ommending also does not have any prior experience about the doctor. They may
have heard about that doctor from someone else. Thus patients get misguided,
which results in wastage of valuable time, money and e ort. We address this issue
and tried to come up with an online based recommendation system. This recom-
mendation system takes into account all the key performance factor of a doctor.
These performance factors can be patients treatment satisfaction, doctor's years
of service experience, educational quali cation, number of patients who recom-
mended that doctor to other patients etc. We proposed a rating algorithm which
generate rating for a doctor using those performance factors. Using the ratings,
the system will recommend doctors to the patients. In our recommendation archi-
tecture we also included location and patients previous search history also. This
system has the potential to assist people in doctor selection process. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Department of Computer Science and Engineering, Islamic University of Technology, Gazipur, Bangladesh |
en_US |
dc.subject |
Healthcare, Recommendation System, Healthcare Sentiment Analy- sis, Healthcare Recommendation System, Feedback, Doctor Performance, Doctor rating, ranking, rating |
en_US |
dc.title |
Developing a Recommendation System for Medical Healthcare |
en_US |
dc.type |
Thesis |
en_US |