| Revista: | Latin-American Journal of Computing (LAJC) |
| Base de datos: | |
| Número de sistema: | 000565110 |
| ISSN: | 1390-9134 |
| Autores: | Jimenez, Cristina1 Carrera, Ivan1 |
| Instituciones: | 1Escuela Politécnica Nacional, |
| Año: | 2018 |
| Volumen: | 5 |
| Número: | 2 |
| Paginación: | 33-40 |
| País: | Ecuador |
| Idioma: | Inglés |
| Resumen en inglés | This paper presents a Systematic Literature Review(SLR) related to recommender system for medical treatment, aswell as analyze main elements that may provide flexible, accurate,and comprehensive recommendations. To do so, a SLR researchmethodology obey. As a result, 12 intelligent recommendersystems related to prescribing medication were classed dependingto specific criteria. We assessed and analyze these medicinerecommender systems and enumerate the challenges. After studyingselected papers, our study concentrated on two researchquestions concerning the availability of medicine recommendersystems for physicians and the features these systems should have.Further research is encouraged in order to build an intelligentrecommender system based on the features analyzed in this work. |
| Keyword: | Assisted Medicine., Machine Learning, Recommender System |
| Texto completo: | Texto completo (Ver PDF) |
