Mining clinical pathways for daily insulin therapy of diabetic children
type: Item
instance of: scholarly article
title: Mining clinical pathways for daily insulin therapy of diabetic children
zbMATH Open document ID: 1469.92059
author: Wojciech Froelich
author: Grazyna Deja
author: Rafał Deja
published in: International Journal of Applied Mathematics and Computer Science
publication date: 2021-07-22T00:00:00Z
Mathematics Subject Classification ID: 92C50
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 7373812
zbMATH Keywords: decision support systems
zbMATH Keywords: modeling clinical pathways
zbMATH Keywords: diabetes mellitus
MaRDI profile type: Publication
full work available at URL: Froelich Deja Mining clinical pathways.pdf
OpenAlex ID: W3205986371
cites work: Bayesian Reasoning and Machine Learning
cites work: Q5180702
cites work: A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
cites work: Fusion of clinical data: a case study to predict the type of treatment of bone fractures
cites work: Mathematical modeling of the glucose-insulin system: a review
cites work: Machine learning techniques combined with dose profiles indicate radiation response biomarkers
DOI: 10.34768/AMCS-2021-0008
description: scientific article; zbMATH DE number 7373812