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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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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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mHealth apps for gestational diabetes mellitus that provide clinical decision support or artificial intelligence: A scoping review

Diabetic medicine, 2022-01, Vol.39 (1), p.e14735-n/a

2022

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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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Influence of Seasonality and Public-Health Interventions on the COVID-19 Pandemic in Northern Europe

Journal of clinical medicine, 2024-01, Vol.13 (2), p.334

2024

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LAGOS: learning health systems and how they can integrate with patient care

BMJ health & care informatics, 2019-10, Vol.26 (1), p.e100037

2019

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The Heimdall Framework for Supporting Characterisation of Learning Health Systems

BMJ health & care informatics, 2018-06, Vol.25 (2), p.77-87

2018

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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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Bayesian Hypothesis Testing and Hierarchical Modeling of Ivermectin Effectiveness

American journal of therapeutics, 2021-09, Vol.28 (5), p.e576-e579

2021

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Science and law: Improve statistics in court

Nature (London), 2011-11, Vol.479 (7371), p.36-37

Fenton, Norman

2011

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Learning Health Systems: The research community awareness challenge

BMJ health & care informatics, 2018, Vol.25 (1), p.981-40

2018

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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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Improve statistics in court

Nature (London), 2011-11, Vol.479 (7371), p.36-37

Fenton, Norman

2011

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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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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

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

Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks

mHealth apps for gestational diabetes mellitus that provide clinical decision support or artificial intelligence: A scoping review

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

Influence of Seasonality and Public-Health Interventions on the COVID-19 Pandemic in Northern Europe

LAGOS: learning health systems and how they can integrate with patient care

The Heimdall Framework for Supporting Characterisation of Learning Health Systems

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

Bayesian Hypothesis Testing and Hierarchical Modeling of Ivermectin Effectiveness

Science and law: Improve statistics in court

Learning Health Systems: The research community awareness challenge

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

Improve statistics in court

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

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