预测建模在医疗保健研究中的作用:范围界定综述

N. Panda, Jitendra Kumar Pati, Ruchi Bhuyan
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引用次数: 0

摘要

经验医学研究中得出的大量推论来自基于模型的关系(例如回归)。在这里,我们描述了预测建模作为该方法的补充的作用。预测模型通常是概率模型,它能很好地拟合我们的数据。在医学研究中,使用回归模型进行预测是很常见的。在本文中,我们描述了医学研究中使用的预测建模(线性和非线性)的类型,以及研究人员如何有效地根据预测建模做出决策,以及在构建预测模型时我们必须采取哪些预防措施。最后,我们考虑了一个工作示例来说明预测模型在医疗保健中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Role of Predictive Modeling in Healthcare Research: A Scoping Review
The huge preponderance of inferences drawn in empirical medical research follows from model-based relations (e.g. regression). Here, we described the role of predictive modeling as a complement to this approach. Predictive models are usually probabilistic model which gives a good quality fit to our data. In medical research, it’s very common to use regression models for predictive purposes. Here in this article, we described the types of predictive modeling (Linear and Non-linear) used in medical research and how effectively the researchers take decisions based on predictive modeling, and what precautions, we have to take while building a predictive model. Finally, we consider a working example to illustrate the effectiveness of the predictive model in healthcare.
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