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Finding potentially new multimorbidity patterns of psychiatric and somatic diseases: Exploring the use of literature-based discovery in primary care research

机译:寻找潜在的精神疾病和躯体疾病的新的多发病模式:探索基于文献的发现在初级保健研究中的使用

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Background Multimorbidity, the co-occurrence of two or more chronic medical conditions within a single individual, is increasingly becoming part of daily care of general medical practice. Literature-based discovery may help to investigate the patterns of multimorbidity and to integrate medical knowledge for improving healthcare delivery for individuals with co-occurring chronic conditions. Objective To explore the usefulness of literature-based discovery in primary care research through the key-case of finding associations between psychiatric and somatic diseases relevant to general practice in a large biomedical literature database (Medline). Methods By using literature based discovery for matching disease profiles as vectors in a highdimensional associative concept space, co-occurrences of a broad spectrum of chronic medical conditions were matched for their potential in biomedicine. An experimental setting was chosen in parallel with expert evaluations and expert meetings to assess performance and to generate targets for integrating literature-based discovery in multidisciplinary medical research of psychiatric and somatic disease associations. Results Through stepwise reductions a reference set of 21 945 disease combinations was generated, from which a set of 166 combinations between psychiatric and somatic diseases was selected and assessed by text mining and expert evaluation. Conclusions Literature-based discovery tools generate specific patterns of associations between psychiatric and somatic diseases: one subset was appraised as promising for further research; the other subset surprised the experts, leading to intricate discussions and further eliciting of frameworks of biomedical knowledge. These frameworks enable us to specify targets for further developing and integrating literature-based discovery in multidisciplinary research of general practice, psychology and psychiatry, and epidemiology.
机译:背景技术多发病,即一个人中同时出现两种或两种以上慢性疾病,正日益成为一般医疗日常护理的一部分。基于文献的发现可能有助于调查多种疾病的模式,并整合医学知识,以改善慢性病患者的医疗保健服务。目的通过在大型生物医学文献数据库(Medline)中发现与一般实践相关的精神病和躯体疾病之间关联的关键案例,探索基于文献的发现在初级保健研究中的有用性。方法通过使用基于文献的发现在高维关联概念空间中将疾病谱作为载体进行匹配,将多种慢性医学疾病的共现在生物医学中的潜力相匹配。在专家评估和专家会议的同时,选择了一个实验环境,以评估绩效并制定目标,以将基于文献的发现整合到精神病学和躯体疾病协会的多学科医学研究中。结果通过逐步减少,生成了21 945种疾病组合的参考集,从中选择了166种在精神病和躯体疾病之间的组合,并通过文本挖掘和专家评估进行了评估。结论基于文献的发现工具产生了精神病和躯体疾病之间的特定关联模式:一个子集被评估为有希望进一步研究;另一个子集被认为具有广阔的前景。另一个子集使专家感到惊讶,从而导致了复杂的讨论并进一步引起了生物医学知识框架的启发。这些框架使我们能够指定目标,以进一步发展和整合基于文献的发现,并将其纳入普通实践,心理学和精神病学以及流行病学的多学科研究中。

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