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Trustworthy AI guidelines in biomedical decision-making applications: a sco** review
Recently proposed legal frameworks for Artificial Intelligence (AI) depart from some
frameworks of concepts regarding ethical and trustworthy AI that provide the technical …
frameworks of concepts regarding ethical and trustworthy AI that provide the technical …
[HTML][HTML] Evaluating impact of movement on diabetes via artificial intelligence and smart devices systematic literature review
As diabetes management becomes more complicated, there is an increasing interest in
understanding how to manage diabetes with physical activity. Our study aimed to investigate …
understanding how to manage diabetes with physical activity. Our study aimed to investigate …
(Hybrid) Closed-Loop Systems: From Announced to Unannounced Exercise
RT Zimmer, A Auth, J Schierbauer, S Haupt… - Diabetes Technology …, 2023 - liebertpub.com
Physical activity and exercise have many beneficial effects on general and type 1 diabetes
(T1D) specific health and are recommended for individuals with T1D. Despite these health …
(T1D) specific health and are recommended for individuals with T1D. Despite these health …
What is meant by 'integrated personalized diabetes management': A view into the future and what success should look like
Integrated personalized diabetes management (IPDM) has emerged as a promising
approach to improving outcomes in patients with diabetes mellitus (DM). This care approach …
approach to improving outcomes in patients with diabetes mellitus (DM). This care approach …
Leveraging Machine Learning for Disease Diagnoses based on Wearable Devices: A Survey
Many countries around the world are facing a shortage of healthcare resources, especially
during the post-epidemic era, leading to a dramatic increase in the need for self-detection …
during the post-epidemic era, leading to a dramatic increase in the need for self-detection …
A deep learning nomogram of continuous glucose monitoring data for the risk prediction of diabetic retinopathy in type 2 diabetes
R Tao, X Yu, J Lu, Y Wang, W Lu, Z Zhang, H Li… - … Engineering Sciences in …, 2023 - Springer
Continuous glucose monitoring (CGM) data analysis will provide a new perspective to
analyze factors related to diabetic retinopathy (DR). However, the problem of visualizing …
analyze factors related to diabetic retinopathy (DR). However, the problem of visualizing …
When fairness meets privacy: Fair classification with semi-private sensitive attributes
Machine learning models have demonstrated promising performance in many areas.
However, the concerns that they can be biased against specific demographic groups hinder …
However, the concerns that they can be biased against specific demographic groups hinder …
[HTML][HTML] A proposal of a mixed diagnostic system based on decision trees and probabilistic experts rules
Decision trees and rule-based expert systems (RBES) are standard diagnostic tools. We
propose a mixed technique that starts with a probabilistic decision tree where information is …
propose a mixed technique that starts with a probabilistic decision tree where information is …
Impact of machine learning on dietary and exercise behaviors in type 2 diabetes self-management: a systematic literature review
Self-awareness and self-management in diabetes are critical as they enhance patient well-
being, decrease financial burden, and alleviate strain on healthcare systems by mitigating …
being, decrease financial burden, and alleviate strain on healthcare systems by mitigating …
Prebiotics Beyond the Gut: Omics Insights, Artificial Intelligence, and Clinical Trials in Organ-Specific Applications
Prebiotics, traditionally linked to gut health, are increasingly recognized for their systemic
benefits, influencing multiple organ systems through interactions with the gut microbiota …
benefits, influencing multiple organ systems through interactions with the gut microbiota …