title: Inferring cuisine--drug interactions using the linked data approach.
abstract: Food - drug interactions are well studied, however much less is known about cuisine - drug interactions. Non-native cuisines are becoming increasingly more popular as they are available in (almost) all regions in the world. Here we address the problem of how known negative food - drug interactions are spread in different cuisines. We show that different drug categories have different distribution of the negative effects in different parts of the world. The effects certain ingredients have on different drug categories and in different cuisines are also analyzed. This analysis is aimed towards stressing out the importance of cuisine - drug interactions for patients which are being administered drugs with known negative food interactions. A patient being under a treatment with one such drug should be advised not only about the possible negative food - drug interactions, but also about the cuisines that could be avoided from the patient's diet.
authors: Faculty of Computer Science and Engineering, Rugjer Boshkovikj 16, 1000, Skopje, Macedonia.
authors: Milos
authors: M
authors: Jovanovik
authors: Faculty of Computer Science and Engineering, Rugjer Boshkovikj 16, 1000, Skopje, Macedonia.
authors: Aleksandra
authors: A
authors: Bogojeska
authors: Faculty of Computer Science and Engineering, Rugjer Boshkovikj 16, 1000, Skopje, Macedonia.
authors: Dimitar
authors: D
authors: Trajanov
authors: Faculty of Computer Science and Engineering, Rugjer Boshkovikj 16, 1000, Skopje, Macedonia.
authors: Ljupco
authors: L
authors: Kocarev
mesh_terms: D018565:Food-Drug Interactions; D006801:Humans