Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
Mar 10, 2025
To evaluate the diagnostic performance of artificial intelligence-assisted diagnostic systems in cervical cytopathological examination. Cervical cytology slide data were retrospectively collected from four hospitals for the external validation of t...
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
Feb 10, 2025
This study aims to construct a machine learning model to predict depression symptoms in the elderly and analyze the key influencing factors of depression in the elderly using the shapley additive interpretation (SHAP) method. Based on entries from ...
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
Sep 10, 2024
Population based health data collection and analysis are important in epidemiological research. In recent years, with the rapid development of big data, Internet and cloud computing, artificial intelligence has gradually attracted attention of epidem...
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
Jul 10, 2024
The rapid development of artificial intelligence in the field of healthcare has greatly improved diagnosis accuracy, disease prediction, personalized treatment and healthcare resource management. However, with the widespread application of medical ar...
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
Aug 10, 2023
Adjusting time-dependent covariates into prediction models may help improve model performance and expand clinical applications. The methodology of handling time-dependent covariates is limited in traditional regression strategies (i.e., landmark mode...
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
May 10, 2022
Risks exist in medicine related fields, which cannot be defined and quantified precisely. It is necessary to adopt a method for the risk assessment of uncertain and fuzzy phenomenon. This paper summarizes the thinking, procedure, advantage and applic...
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
Dec 10, 2021
To develop and validate a useful predictive model for large gestational age (LGA) in pregnancy using a machine learning (ML) algorithm and compare its performance with the traditional logistic regression model. Data were obtained from the National ...
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
Sep 10, 2021
As an important branch of artificial intelligence, machine learning is widely used in various fields. Machine learning has similarity to classical statistical methods, but can solve many problems which are difficult for traditional statistics, so it ...
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
Oct 10, 2019
Medical claims database is an important source of data for studying the characteristics, and burden of diseases, to provide a basis for the development of policy on management. The database is usually used to identify patients through International C...
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
Nov 1, 2015
This paper introduces a method called model-based multifactor dimensionality reduction (MB-MDR), which was firstly proposed by Calle et al., and can be applied for detecting gene-gene or gene-environment interactions in genetic studies. The basic pri...