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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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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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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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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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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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The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie, Basic Books (2018)

Artificial intelligence, 2020-07, Vol.284, p.1-3

2020

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Learning from Behavioural Changes That Fail

Trends in cognitive sciences, 2020-12, Vol.24 (12), p.969-980

2020

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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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WITHDRAWN: Improving predictive accuracy using smart-data: The case of football teams’ evolving performance

Knowledge-based systems, 2017-01

2017

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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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Assessing evidence and testing appropriate hypotheses

Science & justice, 2014-12, Vol.54 (6), p.502-504

Fenton, Norman

2014

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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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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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Medical idioms for clinical Bayesian network development

Journal of biomedical informatics, 2020-08, Vol.108, p.103495-103495, Article 103495

2020

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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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Comparing risks of alternative medical diagnosis using Bayesian arguments

Journal of biomedical informatics, 2010-08, Vol.43 (4), p.485-495

2010

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An empirical study of Bayesian network parameter learning with monotonic influence constraints

Decision Support Systems, 2016-07, Vol.87, p.69-79

2016

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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

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

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

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

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

The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie, Basic Books (2018)

Learning from Behavioural Changes That Fail

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

WITHDRAWN: Improving predictive accuracy using smart-data: The case of football teams’ evolving performance

Risk and confidence analysis for fuzzy multicriteria decision making

Assessing evidence and testing appropriate hypotheses

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

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

Medical idioms for clinical Bayesian network development

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

Comparing risks of alternative medical diagnosis using Bayesian arguments

An empirical study of Bayesian network parameter learning with monotonic influence constraints

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