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首页> 外文期刊>Journal of Alzheimer's disease: JAD >Bioprofile analysis: a new approach for the analysis of biomedical data in Alzheimer's disease.
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Bioprofile analysis: a new approach for the analysis of biomedical data in Alzheimer's disease.

机译：生物特征分析：一种用于阿尔茨海默氏病生物医学数据分析的新方法。

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摘要

This article presents a new approach for the analysis of biomedical data to support the management and care of patients with Alzheimer's disease (AD). The increase in prevalence of neurodegenerative disorders such as AD has led to a need for objective means to assist clinicians with the analysis and interpretation of complex biomedical data. To this end, we propose a "Bioprofile" analysis to reveal the pattern of disease in the subject's biodata. From the Bioprofile, personal "Bioindices" that indicate how closely a subject's data resemble the pattern of AD can be derived. We used an unsupervised technique (k-means) to cluster variables of the ADNI database so that subjects are divisible into those with the Bioprofile of AD and those without it. Results revealed that there is an "AD pattern" in the biodata of most AD and mild cognitive impairment (MCI) patients and some controls. This pattern agrees with a recent hypothetical model of AD evolution. We also assessed how the Bioindices changed with time and we found that the Bioprofile was associated with the risk of progressing from MCI to AD. Hence, the Bioprofile analysis is a promising methodology that may potentially provide a complementary new way of interpreting biomedical data. Furthermore, the concept of the Bioprofile could be extended to other neurodegenerative diseases.
机译：本文提出了一种新的生物医学数据分析方法，以支持阿尔茨海默氏病（AD）患者的管理和护理。神经退行性疾病（例如AD）的患病率上升，导致需要客观的手段来协助临床医生分析和解释复杂的生物医学数据。为此，我们提出“生物特征”分析以揭示受试者生物数据中的疾病模式。从生物档案中，可以得出表明受试者数据与AD模式相似程度的个人“生物索引”。我们使用无监督技术（k均值）对ADNI数据库的变量进行聚类，以便将受试者分为具有AD的Bioprofile的受试者和没有ADbioprofile的受试者。结果显示，大多数AD和轻度认知障碍（MCI）患者以及一些对照的生物数据中都存在“ AD模式”。这种模式与AD进化的最新假设模型相符。我们还评估了生物指标如何随时间变化，我们发现生物概况与从MCI到AD的风险相关。因此，生物概况分析是一种有前途的方法，可以潜在地提供解释生物医学数据的补充新方法。此外，生物概况的概念可以扩展到其他神经退行性疾病。

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