TY  - JOUR
T1  - Food Recommendation System for a Healthy Liver Using Machine Learning
AU  - Bederiana, Shyti
AU  - Argesta, Stergu
AU  - Dhurata, Valera
AU  - Blerina, Papajani
PY  - 2024
DA  - August
Y2  - 2024
DO  - 10.55549/epstem.1523634
JF  - The Eurasia Proceedings of Science Technology Engineering and Mathematics
JO  - EPSTEM
PB  - ISRES Publishing
WT  - DergiPark
SN  - 2602-3199
SP  - 438
EP  - 447
VL  - 28
LA  - en
AB  - Nowadays, the work routine, the problems we face, make us not pay proper attention to healthy eating. As a result, people get sick. We have created through mathematical knowledge (statistics, probability, linear algebra, geometry), combining the concepts of Machine Learning (Content Based Filtering, TD IDF Vectorizer Algorithm, Conditional Independence, Count Vectorization) with Python language, a Recommendation System for all people suffering from liver. Liver is one of the most important organs of our body, because it makes 500 essential functions in the organism. But we have to be aware about the types of food that we use. Also, we must be very careful with our lifestyle and diet on foods. The aim of this article is to recommend the most appropriate foods for a healthy liver. This article will help the p
KW  - Recommendation system
KW  - Liver
KW  - Foods
KW  - Health
KW  - Machine learning.
CR  - Shyti, B., Stergu, A., Valera, D., & Blerina, P. (2024). Food recommendation system for a healthy liver using machine learning. The Eurasia Proceedings of Science, Technology, Engineering & Mathematics (EPSTEM), 28, 438-447.
UR  - https://doi.org/10.55549/epstem.1523634
L1  - https://dergipark.org.tr/en/download/article-file/4103348
ER  -