Bayesian Neural Networks in Predictive Neurosurgery.

4区 医学 Q2 Biochemistry, Genetics and Molecular Biology Advances in experimental medicine and biology Pub Date : 2024-01-01 DOI:10.1007/978-3-031-64892-2_9
Benjamin W Y Lo, Hitoshi Fukuda
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Abstract

"Bayesian Neural Networks in Predictive Neurosurgery" explains both conceptually and theoretically the combination of statistical techniques for clinical prediction models, including artificial neural networks, Bayesian regression, and Bayesian neural networks. This clinical prediction system incorporates both prior knowledge and one's own experiences (Bayesian analysis) as well as recognizes complex statistical associations between prognostic and outcome variables (artificial neural networks).

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贝叶斯神经网络在预测性神经外科中的应用。
"贝叶斯神经网络在预测性神经外科中的应用》从概念和理论上解释了临床预测模型的统计技术组合,包括人工神经网络、贝叶斯回归和贝叶斯神经网络。这种临床预测系统结合了先验知识和个人经验(贝叶斯分析),并识别了预后变量和结果变量之间复杂的统计关联(人工神经网络)。
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来源期刊
Advances in experimental medicine and biology
Advances in experimental medicine and biology 医学-医学:研究与实验
CiteScore
5.90
自引率
0.00%
发文量
465
审稿时长
2-4 weeks
期刊介绍: Advances in Experimental Medicine and Biology provides a platform for scientific contributions in the main disciplines of the biomedicine and the life sciences. This series publishes thematic volumes on contemporary research in the areas of microbiology, immunology, neurosciences, biochemistry, biomedical engineering, genetics, physiology, and cancer research. Covering emerging topics and techniques in basic and clinical science, it brings together clinicians and researchers from various fields.
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