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生物统计学在智慧医疗领域的应用进展

王陵 冯浚铃 王文文 李晨 夏结来

空军军医大学学报2025,Vol.46Issue(5):561-567,7.
空军军医大学学报2025,Vol.46Issue(5):561-567,7.DOI:10.13276/j.issn.2097-1656.2025.05.001

生物统计学在智慧医疗领域的应用进展

Advances in the application of biostatistics in the field of intelligent healthcare

王陵 1冯浚铃 1王文文 1李晨 1夏结来1

作者信息

  • 1. 空军军医大学军事预防医学系卫生统计学教研室,特殊作业环境危害评估与防治教育部重点实验室,陕西西安 710032
  • 折叠

摘要

Abstract

Biostatistics is an instrumental discipline that applies statistical principles and methods to analyze and interpret biological,medical,and public health data.In recent years,with the rapid advancement of computer technology,the concept of intelligent healthcare has gained widespread acceptance.This article delves into the application of biostatistics in the field of intelligent healthcare.By reviewing the origins of artificial intelligence(AI)development,it systematically explores the intricate connections between biostatistics and AI,particularly machine learning(ML),in the realm of intelligent healthcare.It elucidates that the two are inherently interconnected,with biostatistics providing theoretical foundation and methodological support for AI applications in healthcare,ensuring the scientific rigor of AI model training and validation based on ML.Meanwhile,AI expands the scope and technical means of biostatistics.The development of AI models requires deep integration with biostatistical methods to fully uncover the latent information in clinical data,thereby advancing the clinical translation of AI-assisted tools across various aspects of intelligent healthcare.It is hoped that people will recognize that Al technology,supported by biostatistics,can jointly propel the medical industry toward a smarter and more precise direction,which will also influence the future research directions and collaboration models of medical professionals and biostatisticians.

关键词

生物统计学/人工智能/机器学习/智慧医疗

Key words

biostatistics/artificial intelligence/machine learning/intelligent healthcare

分类

医药卫生

引用本文复制引用

王陵,冯浚铃,王文文,李晨,夏结来..生物统计学在智慧医疗领域的应用进展[J].空军军医大学学报,2025,46(5):561-567,7.

基金项目

国家自然科学基金(82273729,82373680,82273728) (82273729,82373680,82273728)

空军军医大学学报

2097-1656

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