Pharmaceutical Data Search by Decision Trees
Dublin Core
Title
Pharmaceutical Data Search by Decision Trees
Subject
component; data mining; supervised learning; decision trees; segmentation,; fragmentation.
Description
The number of information concerning the drugs that any professional of health must control in practice and the transformations which they undergo, make the regulation or the administration of drugs difficult for a pregnant woman. Techniques of excavation of data were developed to lead a model of classification of data according to precise criteria. One of the most used of is the technique of the decision trees, a method making it possible to predict the membership of an individual to a class according to his characteristics; it is based primarily on the relevant attributes of the data base of the field to which it is applied. In our case classification of managed drugs or not with the pregnant woman will be done according to quarters of the pregnancy. The results of this technique will help the professionals of health to take a decision, to make a good regulation, to decrease the accidents related to the catch of inadequate drugs at the period of pregnancy with less risks for the child.
Creator
Djamila Benhaddouche
Source
www.ijcit .com
Date
January 2021
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Djamila Benhaddouche, “Pharmaceutical Data Search by Decision Trees,” Repository Horizon University Indonesia, accessed June 1, 2025, https://repository.horizon.ac.id/items/show/8971.