In July of 1998, a 55-year-old man developed a new and unusual appearing rash on both of his arms. His symptoms began approximately 3 weeks earlier, when he first experienced weakness in his left hand. His physician ordered a magnetic resonance imaging (MRI) scan of the brain, which was...
Health, Disease, and Causal Explanations in Medicine 作者:Nordenfelt, L. y.; Lindahl, B. I. B.; Nordenfelt, Lennart 页数:292 ISBN:9789027716606 豆瓣评分 目前无人评价 评价: 写笔记 写书评 加入购书单 分享到 推荐
Understanding the causal impact that clinical risk factors have on healthcare-related costs is critical to evaluate healthcare interventions. Here, we used a genetically-informed design, Mendelian Randomization (MR), to infer the causal impact of 15 risk
The results indicate that education acausalimpact on health. 结果显示,教育对于健康具有因果上的影响. 互联网 These particularcausalfactors vary from patient to patient. 这些特殊的偶然因素因病人的不同而各有区别. 互联网 Discontinuationcausalagents and treatment of symptoms is effective. ...
Understanding the determinants of global quality of life in cancer patients is crucial for improving their overall well-being. While correlations between various factors and quality of life have been established, the causal relationships remain largely u
The cause–effect relationships for each stakeholder can be integrated into a composite fishbone diagram to provide a comprehensive multi-stakeholder view of the problems and potential contributing factors. The stakeholder viewpoints defined at the end of Section 17.3.5 should reflect these concerns. ...
Using observational data for causal inference is gaining momentum due to the confluence of factors such as the large amount of more complex and richer data and advanced techniques from statistics and ML. In general, two frameworks exist for causal inference in observational studies, which are not ...
Numerous observational studies have reported a strong link between dietary habits and the risk of prostate cancer. However, these studies are susceptible to confounding factors. To address this question, we conducted a two-sample Mendelian randomization (MR) study to explore the causal relationship bet...
Zhang W, Liu L, Li J (2021) Treatment effect estimation with disentangled latent factors. Proc AAAI Conf Artif Intell 35:10923–10930 Google Scholar Cheng D, Li J, Liu L, Yu K, Le TD, Liu J (2022) Toward unique and unbiased causal effect estimation from data with hidden variables. ...
manifestation partner for the medical intervention to work, or else be a non-responder. But rather than seeing the patient as the background condition for the intervention to do its causal work, which is the standard view of causality, causal dispositionalism takes all contextual factors that ...