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What are the benefits of using Bayesian networks in healthcare?

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Bayesian networks offer several benefits in healthcare. They can handle the complexity and dimensionality of healthcare data effectively, making them suitable for generating synthetic data for research purposes . Additionally, Bayesian networks can improve clinical decision-making by providing accurate diagnoses and predictions for critical diseases . They also offer transparency, computational efficiency, and the ability to handle various data types, making them a promising option for generating realistic synthetic health data . Furthermore, Bayesian networks can help in addressing the barriers to implementing BN-based systems in healthcare, such as data inadequacies and lack of clinical credibility, by providing strategies for adoption in frontline care settings . Overall, the use of Bayesian networks in healthcare can enhance research, improve clinical decision-making, and facilitate the adoption of BN-based systems in practice .

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Book Chapter•DOI Practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networks Juan de Benedetti, Namir Oues, Zhenchen Wang, Puja R. Myles, Allan Tucker - Show less +4 more 14 Sep 2020 3 Citations	The paper does not explicitly mention the benefits of using Bayesian networks in healthcare.
Journal Article•DOI Semantic Web-based critical Healthcare system using Bayesian networks D. Akila, D. Balaganesh - Show less +1 more 26 Feb 2021-Materials Today: Proceedings 2 Citations	The provided paper does not explicitly mention the benefits of using Bayesian networks in healthcare.
Journal Article•DOI Application of Bayesian networks to generate synthetic health data. Dhamanpreet Kaur, Matthew Sobiesk, Shubham Patil, Jin Liu, Puran Bhagat, Amar Gupta, Natasha Markuzon - Show less +6 more 18 Mar 2021-Journal of the American Medical Informatics Association 26 Citations	The benefits of using Bayesian networks in healthcare include improved handling of complexity and dimensionality of healthcare data, capturing rare variables, preserving association rules, offering transparency, computational efficiency, and the ability to handle more data types.
Journal Article•DOI Bayesian networks in healthcare: What is preventing their adoption? Evangelia Kyrimi, Kudakwashe Dube, Norman Fenton, Ali Fahmi, Mariana R. Neves, William Marsh, Scott McLachlan - Show less +6 more 22 Apr 2021-Artificial Intelligence in Medicine 12 Citations	The paper does not explicitly mention the benefits of using Bayesian networks in healthcare.

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