The continuously increasing cost of the US healthcare system has received significant attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …
Background As a critical driving power to promote health care, the health care–related artificial intelligence (AI) literature is growing rapidly. Objective The purpose of this analysis …
K Farooq, A Hussain - Complex Adaptive Systems Modeling, 2016 - Springer
Purpose This multidisciplinary industrial research project sets out to develop a hybrid clinical decision support mechanism (inspired by ontology and machine learning driven techniques) …
American Diabetes Association - Diabetes care, 2011 - Am Diabetes Assoc
A. Children and adolescents 1. Type 1 diabetes Glycemic control a. Screening and management of chronic complications in children and adolescents with type 1 diabetes i …
Decision aids for people facing health treatment or screening decisions - Stacey, D - 2017 | Cochrane Library Skip to Content Cookies Our site uses cookies to improve your experience …
L Moja, KH Kwag, T Lytras… - … journal of public …, 2014 - ajph.aphapublications.org
We systematically reviewed randomized controlled trials (RCTs) assessing the effectiveness of computerized decision support systems (CDSSs) featuring rule-or algorithm-based …
WITHDRAWN: Compliance with HIPAA and GDPR in blockchain-based electronic health record - ScienceDirect Skip to main contentSkip to article Elsevier logo Journals & Books Search …
Diabetes is a major and costly health concern worldwide, with high morbidity, disability, mortality, and impaired quality of life. The vast majority of people living with diabetes have …
SM Shah, RA Khan - IEEE access, 2020 - ieeexplore.ieee.org
In the present technological era, healthcare providers generate huge amounts of clinical data on a daily basis. Generated clinical data is stored digitally in the form of Electronic …