Application of prediction models in clinical research

Journal Title: Shanghai Journal of Preventive Medicine - Year 2023, Vol 35, Issue 1

Abstract

Chronic diseases have become an important public health problem for people under 70 years of age worldwide, while also causing a great economic burden. The establishment of clinical prediction models can help to predict the risk of a disease or the prognostic effect of a study subject in advance by means of index testing at the early stage of chronic diseases, and plays an increasingly important role in clinical practice. This study introduces clinical diagnostic prediction models and clinical prognostic prediction models, and reviews clinical data processing, clinical prediction model building, visualization methods and model evaluation from the perspective of the application of clinical prediction models, which contribute to the correct and reasonable use of prediction models in clinical research.

Authors and Affiliations

NIU Zheyun,SHEN Jiaying,ZHANG Zihan,JIANG Dongming,ZHANG Hongwei,CAO Guangwen,

Keywords

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  • EP ID EP742064
  • DOI -
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How To Cite

NIU Zheyun, SHEN Jiaying, ZHANG Zihan, JIANG Dongming, ZHANG Hongwei, CAO Guangwen, (2023). Application of prediction models in clinical research. Shanghai Journal of Preventive Medicine, 35(1), -. https://europub.co.uk./articles/-A-742064