Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
The adoption of artificial intelligence (AI) in healthcare is growing rapidly. Remote patient
monitoring (RPM) is one of the common healthcare applications that assist doctors to …
monitoring (RPM) is one of the common healthcare applications that assist doctors to …
Artificial intelligence and machine learning for hemorrhagic trauma care
Artificial intelligence (AI), a branch of machine learning (ML) has been increasingly
employed in the research of trauma in various aspects. Hemorrhage is the most common …
employed in the research of trauma in various aspects. Hemorrhage is the most common …
Predicting in-hospital mortality of patients with acute kidney injury in the ICU using random forest model
Objectives We aimed to construct a mortality prediction model using the random forest (RF)
algorithm for acute kidney injury (AKI) patients in the intensive care unit (ICU), and …
algorithm for acute kidney injury (AKI) patients in the intensive care unit (ICU), and …
A survey of belief rule-base expert system
ZJ Zhou, GY Hu, CH Hu, CL Wen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The belief rule-base (BRB) model is a new intelligent expert system with the characteristics
of both expert system and data-driven model. In BRB there are many if-then rules which use …
of both expert system and data-driven model. In BRB there are many if-then rules which use …
Data classification using evidence reasoning rule
Abstract In Dempster–Shafer evidence theory (DST) based classifier design, Dempster's
combination (DC) rule is commonly used as a multi-attribute classifier to combine evidence …
combination (DC) rule is commonly used as a multi-attribute classifier to combine evidence …
Evidential reasoning approach with multiple kinds of attributes and entropy-based weight assignment
Multiple attribute decision making (MADM) problems often consists of quantitative and
qualitative attributes which can be assessed by numerical values and subjective judgments …
qualitative attributes which can be assessed by numerical values and subjective judgments …
Evidential reasoning rule for MADM with both weights and reliabilities in group decision making
Multiple attribute decision making (MADM) problems often include quantitative and
qualitative attributes which can be assessed by numerical values and subjective judgements …
qualitative attributes which can be assessed by numerical values and subjective judgements …
A new safety assessment method based on belief rule base with attribute reliability
Z Feng, W He, Z Zhou, X Ban, C Hu… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
Safety assessment is one of important aspects in health management. In safety assessment
for practical systems, three problems exist: lack of observation information, high system …
for practical systems, three problems exist: lack of observation information, high system …
A new belief rule base model with attribute reliability
Z Feng, ZJ Zhou, C Hu, L Chang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In current studies of the belief rule base (BRB) model, the attributes are assumed to be fully
reliable and the observation data are directly used as input. However, in engineering …
reliable and the observation data are directly used as input. However, in engineering …
New ranking model with evidence theory under probabilistic hesitant fuzzy context and unknown weights
This paper proposes a novel ranking model under probabilistic hesitant fuzzy set (PHFS) by
extending the idea of evidence theory (ET). PHFS is a strong variant of hesitant fuzzy set that …
extending the idea of evidence theory (ET). PHFS is a strong variant of hesitant fuzzy set that …