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Dynamic Recommendation: Disease Prediction and Prevention Using Recommender System
- Source :
- International Journal of Basic Science in Medicine, Vol 1, Iss 1, Pp 13-17 (2016)
- Publication Year :
- 2016
- Publisher :
- Maad Rayan Publishing Company, 2016.
-
Abstract
- Background: In today’s world, chronic diseases are predominant health problems and cause heavy burden on society; therefore early diagnosis and even prediction of the disease is a way to reduce this burden. In this project, we tried to use recommender system to predict which other diseases a chronic patient is susceptible for. Methods: In this study, through a dynamic recommender system, we evaluated patients’ treatment destiny during the time. Results: It was shown that our method increased accuracy and reduced error compared with other recommendation methods in disease prediction. Conclusion: Compared to current usual methods, in our method we used previous patients’ characteristics as one of the factorization variables to predict destiny of future patients. Furthermore, using this method, we can predict which complication or disease the patient would suffer from first in future. Therefore, we can manage policies toward disease burden reduction by implementing prevention programs.
- Subjects :
- lcsh:R5-920
medicine.medical_specialty
business.industry
Collaborative filtering
Chronic patient
02 engineering and technology
Disease
Recommender system
Data science
Treatment
03 medical and health sciences
Health problems
0302 clinical medicine
0202 electrical engineering, electronic engineering, information engineering
Medicine
020201 artificial intelligence & image processing
Disease prediction
lcsh:Medicine (General)
business
Intensive care medicine
Data mining
030217 neurology & neurosurgery
Disease burden
Subjects
Details
- ISSN :
- 2476664X
- Volume :
- 1
- Database :
- OpenAIRE
- Journal :
- International journal of basic science in medicine
- Accession number :
- edsair.doi.dedup.....174fd0c7736fdb539aa61415a37a9b18