Synthetic data as an investigative tool in hypertension and renal diseases research  

作　　者：Aleena Jamal Som Singh Fawad Qureshi 

机构地区：[1]Sidney Kimmel Medical College,Thomas Jefferson University,Philadelphia,PA 19107,United States [2]School of Medicine,University of Missouri Kansas City,Kansas,MO 64106,United States [3]Division of Nephrology and Hypertension,Mayo Clinic,Rochester,MN 55905,United States

出　　处：《World Journal of Methodology》2025年第1期9-13,共5页世界方法学杂志（英文）

摘　　要：There is a growing body of clinical research on the utility of synthetic data derivatives,an emerging research tool in medicine.In nephrology,clinicians can use machine learning and artificial intelligence as powerful aids in their clinical decision-making while also preserving patient privacy.This is especially important given the epidemiology of chronic kidney disease,renal oncology,and hypertension worldwide.However,there remains a need to create a framework for guidance regarding how to better utilize synthetic data as a practical application in this research.

关 键 词：Synthetic data Artificial intelligence NEPHROLOGY Blood pressure RESEARCH EDITORIAL 

分 类 号：R544.1[医药卫生—心血管疾病] R692[医药卫生—内科学]