Open AccessAnalysis of Urine Samples to Classify as Hydrated or Dehydrated using Image Processing and XGboost Model
Author(s) -
Mohammed Azam Sayeed
Publication year - 2020
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2020.1053
Subject(s) - urine , image (mathematics) , computer science , artificial intelligence , chromatography , chemistry , biochemistry