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Bayesian networks in healthcare: Distribution by medical condition

Artificial intelligence in medicine, 2020-07, Vol.107, p.101912-101912, Article 101912

2020

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From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support

Artificial intelligence in medicine, 2016-02, Vol.67, p.75-93

2016

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A causal Bayesian network approach for consumer product safety and risk assessment

Journal of safety research, 2022-02, Vol.80, p.198-214

2022

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Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks

IEEE transactions on knowledge and data engineering, 2007-10, Vol.19 (10), p.1420-1432

2007

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IEEE_Xplore

Quantitative analysis of faults and failures in a complex software system

IEEE transactions on software engineering, 2000-08, Vol.26 (8), p.797-814

2000

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IEEE_Xplore

A Study of Using Bethe/Kikuchi Approximation for Learning Directed Graphic Models

IEEE access, 2021, Vol.9, p.125428-125438

2021

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Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization

IEEE access, 2018-01, Vol.6, p.7802-7817

2018

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An Extension to the Noisy-OR Function to Resolve the 'Explaining Away' Deficiency for Practical Bayesian Network Problems

IEEE transactions on knowledge and data engineering, 2019-12, Vol.31 (12), p.2441-2445

2019

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A hybrid Bayesian network for medical device risk assessment and management

Reliability engineering & system safety, 2024-01, Vol.241, p.109630, Article 109630

2024

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Current review and next steps for artificial intelligence in multiple sclerosis risk research

Computers in biology and medicine, 2021-05, Vol.132, p.104337-104337, Article 104337

2021

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Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved

Expert systems with applications, 2016-09, Vol.56, p.197-208

2016

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A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study

Expert systems with applications, 2016-10, Vol.60, p.141-155

2016

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A comprehensive scoping review of Bayesian networks in healthcare: Past, present and future

Artificial intelligence in medicine, 2021-07, Vol.117, p.102108-102108, Article 102108

2021

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The effect of risk communication on consumers’ risk perception, risk tolerance and utility of smart and non-smart home appliances

Safety science, 2024-06, Vol.174, p.106464, Article 106464

2024

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Addressing the Practical Limitations of Noisy-OR Using Conditional Inter-Causal Anti-Correlation with Ranked Nodes

IEEE transactions on knowledge and data engineering, 2019-04, Vol.31 (4), p.813-817

2019

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Bayesian networks in healthcare: What is preventing their adoption?

Artificial intelligence in medicine, 2021-06, Vol.116, p.102079-102079, Article 102079

2021

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When and where to transfer for Bayesian network parameter learning

Expert systems with applications, 2016-08, Vol.55, p.361-373

2016

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A critique of software defect prediction models

IEEE transactions on software engineering, 1999-09, Vol.25 (5), p.675-689

1999

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IEEE_Xplore

Risk assessment and risk management of violent reoffending among prisoners

Expert systems with applications, 2015-11, Vol.42 (21), p.7511-7529

2015

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Modelling dependable systems using hybrid Bayesian networks

Reliability engineering & system safety, 2008-07, Vol.93 (7), p.933-939

2008

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A strategy for improving safety related software engineering standards

IEEE transactions on software engineering, 1998-11, Vol.24 (11), p.1002-1013

1998

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IEEE_Xplore

Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences

Artificial intelligence in medicine, 2016-01, Vol.66, p.41-52

2016

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Optimizing the Calculation of Conditional Probability Tables in Hybrid Bayesian Networks Using Binary Factorization

IEEE transactions on knowledge and data engineering, 2012-07, Vol.24 (7), p.1306-1312

2012

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IEEE_Xplore

Predicting Project Velocity in XP Using a Learning Dynamic Bayesian Network Model

IEEE transactions on software engineering, 2009-01, Vol.35 (1), p.124-137

2009

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IEEE_Xplore

Realistic Synthetic Data Generation: The ATEN Framework

Biomedical Engineering Systems and Technologies, p.497-523

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Bayesian networks in healthcare: Distribution by medical condition

From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support

A causal Bayesian network approach for consumer product safety and risk assessment

Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks

Quantitative analysis of faults and failures in a complex software system

A Study of Using Bethe/Kikuchi Approximation for Learning Directed Graphic Models

Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization

An Extension to the Noisy-OR Function to Resolve the 'Explaining Away' Deficiency for Practical Bayesian Network Problems

A hybrid Bayesian network for medical device risk assessment and management

Current review and next steps for artificial intelligence in multiple sclerosis risk research

Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved

A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study

A comprehensive scoping review of Bayesian networks in healthcare: Past, present and future

The effect of risk communication on consumers’ risk perception, risk tolerance and utility of smart and non-smart home appliances

Addressing the Practical Limitations of Noisy-OR Using Conditional Inter-Causal Anti-Correlation with Ranked Nodes

Bayesian networks in healthcare: What is preventing their adoption?

When and where to transfer for Bayesian network parameter learning

A critique of software defect prediction models

Risk assessment and risk management of violent reoffending among prisoners

Modelling dependable systems using hybrid Bayesian networks

A strategy for improving safety related software engineering standards

Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences

Optimizing the Calculation of Conditional Probability Tables in Hybrid Bayesian Networks Using Binary Factorization

Predicting Project Velocity in XP Using a Learning Dynamic Bayesian Network Model

Realistic Synthetic Data Generation: The ATEN Framework

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