Application of prediction models in clinical research
10.19428/j.cnki.sjpm.2023.22770
- VernacularTitle:预测模型在临床研究中的应用
- Author:
Zheyun NIU
1
;
Jiaying SHEN
1
;
Zihan ZHANG
1
;
Dongming JIANG
1
;
Hongwei ZHANG
2
;
Guangwen CAO
2
Author Information
1. School of Medicine, Tongji University, Shanghai 200092, China
2. Department of Epidemiology, Naval Military Medical University, Shanghai 200433, China
- Publication Type:Journal Article
- Keywords:
clinical diagnosis prediction model;
clinical prognosis prediction model;
clinical research;
model building;
model validation
- From:
Shanghai Journal of Preventive Medicine
2023;35(1):56-65
- CountryChina
- Language:Chinese
-
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.
