Artificial intelligence based prediction models for individuals at risk of multiple diabetic complications: A systematic review of the literature
L Gosak, K Martinović, M Lorber… - Journal of nursing …, 2022 - Wiley Online Library
Aim The aim of this review is to examine the effectiveness of artificial intelligence in
predicting multimorbid diabetes‐related complications. Background In diabetic patients …
predicting multimorbid diabetes‐related complications. Background In diabetic patients …
Bayesian network models of causal interventions in healthcare decision making: literature review and software evaluation
This report summarises the outcomes of a systematic literature search to identify Bayesian
network models used to support decision making in healthcare. After describing the search …
network models used to support decision making in healthcare. After describing the search …
Evolving dynamic bayesian networks by an analytical threshold for dealing with data imputation in time series dataset
TM de Oliveira Santos, IN da Silva, M Bessani - Big Data Research, 2022 - Elsevier
Datasets with multiple variables are useful to identify trends promptly that can be used to
support planning and decision making. However, it is quite common for these datasets to …
support planning and decision making. However, it is quite common for these datasets to …
A Bayesian Network structure learning algorithm using experts' knowledge
H Guo, H Li - 2022 34th Chinese Control and Decision …, 2022 - ieeexplore.ieee.org
Learning Bayesian network from data is a non-deterministic polynomial-time (NP) hard
problem. Experts' knowledge is beneficial to determine the BN structure. In this paper, we …
problem. Experts' knowledge is beneficial to determine the BN structure. In this paper, we …