ISSN 2285-5750, ISSN CD-ROM 2285-5769, ISSN-L 2285-5750, ISSN Online: 2393 – 2260
 

NUTRITION CONSULTANT BASED ON MACHINE LEARNING FOR PREECLAMPSIA COMPLICATIONS

Published in Scientific Papers. Series D. Animal Science, Vol. LXII, Issue 2
Written by Iuliana MARIN, Nicolae GOGA

The current study aims to advise the alimentation of pregnant women who suffer from preeclampsia, because we live in a society which is characterized by speed and an impact needs to be done over the nutritional behaviour of the women expecting babies. Pregnant women should take care of their alimentation and acknowledge the health consequences which might appear. Fast food and soft drinks have to be avoided for a healthy life style, as well as during pregnancy. The statistical data regarding the nutrition and medicine for the prevention and treatment of preeclampsia is retrieved from the World Health Organization. In the paper have been analyzed several trials done on a number of persons which varied according to the comparison criteria. Machine learning is used for the pregnant women to assess their dietary habits based on their daily meals and taken medicine descriptions which are written in natural language. As a conclusion, salt restriction, antioxidants, calcium, vitamin D supplementation, antiplatelets have been some of the most frequent recommendations.

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© 2019 SCIENTIFIC PAPERS. SERIES D. ANIMAL SCIENCE. To be cited: SCIENTIFIC PAPERS. SERIES D. ANIMAL SCIENCE.

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