Construction of Predictive Machine Learning Model of Glioma-Associated Gut Microbiota

IF 2.7 3区 心理学 Q2 BEHAVIORAL SCIENCES
Ze Li, Kai Zhao, Hongyu Liu, Jialin Liu, Xu Chen, Wentao Hu, Er Wen, Kai Zhang, Ling Chen
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引用次数: 0

Abstract

Background

The gut microbiota plays a crucial role in the development of glioma. With the evolution of artificial intelligence technology, applying AI to analyze the vast amount of data from the gut microbiome indicates the potential that artificial intelligence and computational biology hold in transforming medical diagnostics and personalized medicine.

Methods

We conducted metagenomic sequencing on stool samples from 42 patients diagnosed with glioma after operation and 30 non-intracranial tumor patients and developed a Gradient Boosting Machine (GBM) machine learning model to predict the glioma patients based on the gut microbiome data.

Results

The AUC-ROC for the GBM model was 0.79, indicating a good level of discriminative ability.

Conclusions

This method's efficacy in discriminating between glioma cells and normal controls underscores the potential of machine learning models in leveraging large datasets for clinical insights.

Abstract Image

神经胶质瘤相关肠道微生物群预测机器学习模型的构建
肠道微生物群在胶质瘤的发生发展中起着至关重要的作用。随着人工智能技术的发展,应用人工智能分析肠道微生物组的大量数据表明,人工智能和计算生物学在改变医疗诊断和个性化医疗方面具有潜力。方法对42例术后胶质瘤患者和30例非颅内肿瘤患者的粪便样本进行宏基因组测序,建立基于肠道微生物组数据的梯度增强机(Gradient Boosting Machine, GBM)机器学习模型预测胶质瘤患者。结果GBM模型的AUC-ROC为0.79,具有较好的判别能力。该方法在区分胶质瘤细胞和正常对照方面的有效性强调了机器学习模型在利用大型数据集获得临床见解方面的潜力。
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来源期刊
Brain and Behavior
Brain and Behavior BEHAVIORAL SCIENCES-NEUROSCIENCES
CiteScore
5.30
自引率
0.00%
发文量
352
审稿时长
14 weeks
期刊介绍: Brain and Behavior is supported by other journals published by Wiley, including a number of society-owned journals. The journals listed below support Brain and Behavior and participate in the Manuscript Transfer Program by referring articles of suitable quality and offering authors the option to have their paper, with any peer review reports, automatically transferred to Brain and Behavior. * [Acta Psychiatrica Scandinavica](https://publons.com/journal/1366/acta-psychiatrica-scandinavica) * [Addiction Biology](https://publons.com/journal/1523/addiction-biology) * [Aggressive Behavior](https://publons.com/journal/3611/aggressive-behavior) * [Brain Pathology](https://publons.com/journal/1787/brain-pathology) * [Child: Care, Health and Development](https://publons.com/journal/6111/child-care-health-and-development) * [Criminal Behaviour and Mental Health](https://publons.com/journal/3839/criminal-behaviour-and-mental-health) * [Depression and Anxiety](https://publons.com/journal/1528/depression-and-anxiety) * Developmental Neurobiology * [Developmental Science](https://publons.com/journal/1069/developmental-science) * [European Journal of Neuroscience](https://publons.com/journal/1441/european-journal-of-neuroscience) * [Genes, Brain and Behavior](https://publons.com/journal/1635/genes-brain-and-behavior) * [GLIA](https://publons.com/journal/1287/glia) * [Hippocampus](https://publons.com/journal/1056/hippocampus) * [Human Brain Mapping](https://publons.com/journal/500/human-brain-mapping) * [Journal for the Theory of Social Behaviour](https://publons.com/journal/7330/journal-for-the-theory-of-social-behaviour) * [Journal of Comparative Neurology](https://publons.com/journal/1306/journal-of-comparative-neurology) * [Journal of Neuroimaging](https://publons.com/journal/6379/journal-of-neuroimaging) * [Journal of Neuroscience Research](https://publons.com/journal/2778/journal-of-neuroscience-research) * [Journal of Organizational Behavior](https://publons.com/journal/1123/journal-of-organizational-behavior) * [Journal of the Peripheral Nervous System](https://publons.com/journal/3929/journal-of-the-peripheral-nervous-system) * [Muscle & Nerve](https://publons.com/journal/4448/muscle-and-nerve) * [Neural Pathology and Applied Neurobiology](https://publons.com/journal/2401/neuropathology-and-applied-neurobiology)
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