Open AccessTechnical Access in Blood Glucose Detection using ANN
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i1070.0789s219
Subject(s) - sort , outcome (game theory) , logistic regression , artificial intelligence , artificial neural network , computer science , correlation , machine learning , medicine , psychology , economics , information retrieval , mathematics , mathematical economics , geometry
Early re-affirmation of patients builds the expense of human services and it exceptionally impacts the notoriety of the clinic. Discovering readmission in essential stage, enables the clinics to give extraordinary consideration for those patients, and after that can lessen the rate of readmission. In this work build up another model utilizing profound learning. It is the correlation technique between AI and profound learning. Typically, Logistic relapse is utilized for all sort of expectation. Be that as it may, as per this information fake neural system model in profound learning give promising outcome than strategic relapse