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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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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 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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pi-football: A Bayesian network model for forecasting Association Football match outcomes

Knowledge-based systems, 2012-12, Vol.36, p.322-339

2012

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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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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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Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks

Knowledge-based systems, 2013-09, Vol.50, p.60-86

2013

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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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Predicting software defects in varying development lifecycles using Bayesian nets

Information and software technology, 2007, Vol.49 (1), p.32-43

2007

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Towards smart-data: Improving predictive accuracy in long-term football team performance

Knowledge-based systems, 2017-05, Vol.124, p.93-104

2017

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A Bayesian network approach for cybersecurity risk assessment implementing and extending the FAIR model

Computers & security, 2020-02, Vol.89, p.101659, Article 101659

2020

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Software metrics: successes, failures and new directions

The Journal of systems and software, 1999-07, Vol.47 (2), p.149-157

1999

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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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Decision Support Software for Probabilistic Risk Assessment Using Bayesian Networks

IEEE software, 2014-03, Vol.31 (2), p.21-26

2014

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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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Improved reliability modeling using Bayesian networks and dynamic discretization

Reliability engineering & system safety, 2010-04, Vol.95 (4), p.412-425

2010

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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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Bayesian network approach to multinomial parameter learning using data and expert judgments

International journal of approximate reasoning, 2014-07, Vol.55 (5), p.1252-1268

2014

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Risk and confidence analysis for fuzzy multicriteria decision making

Knowledge-based systems, 2006-10, Vol.19 (6), p.430-437

2006

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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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Region‐based estimation of the partition functions for hybrid Bayesian network models

International journal of intelligent systems, 2022-11, Vol.37 (11), p.8897-8927

2022

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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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Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction

The Journal of artificial intelligence research, 2020-01, Vol.69, p.231-295

2020

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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

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

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

pi-football: A Bayesian network model for forecasting Association Football match outcomes

Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks

Quantitative analysis of faults and failures in a complex software system

Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks

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

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

Predicting software defects in varying development lifecycles using Bayesian nets

Towards smart-data: Improving predictive accuracy in long-term football team performance

A Bayesian network approach for cybersecurity risk assessment implementing and extending the FAIR model

Software metrics: successes, failures and new directions

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

Decision Support Software for Probabilistic Risk Assessment Using Bayesian Networks

A hybrid Bayesian network for medical device risk assessment and management

Improved reliability modeling using Bayesian networks and dynamic discretization

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

Bayesian network approach to multinomial parameter learning using data and expert judgments

Risk and confidence analysis for fuzzy multicriteria decision making

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

Region‐based estimation of the partition functions for hybrid Bayesian network models

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

Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction

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