Research and Application Analysis of Risk Prediction Models for Prostate Cancer from a Data-driven Perspective

VernacularTitle:前列腺癌风险预测模型研究与应用分析
Author: Jie WU ^{1
,

2} ; Yalan CHEN ; Xuedong WEI ; Yuhua HUANG ; Jianquan HOU ; Yuxin LIN
Author Information

1. 苏州大学附属独墅湖医院泌尿外科苏州 215000
2. 苏州大学附属第一医院泌尿外科苏州 215006
Keywords: prostate cancer; predictive variable; computational model; smart medical care
From: Journal of Medical Informatics 2023;44(12):40-46
CountryChina
Language:Chinese
Abstract: Purpose/Significance The paper retrospectively analyzes the research progress on risk prediction models for prostate cancer,and provides references for the construction of prostate cancer intelligent diagnosis and treatment system.Method/Process Through literature mining and analysis,the significance of molecular,imaging,individual,population and other omics level evaluation indexes in the diagnosis of prostate cancer is discussed,and the key characteristic variables and clinical application value of different cal-culation models are compared.Result/Conclusion The existing models have advantages of easy calculation and strong feasibility,but they also have limitations such as limited prediction accuracy and insufficient generalization ability.The integration of multi-omics data and artificial intelligence models is of great significance for medical informatics research and smart medical system construction of prostate cancer.