相关实验视频

Updated: Jul 6, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.2K

一个基于机器学习的预测模型,用于高尿素化学的痛风:全国性的队列研究

Shay Brikman1,2, Liel Serfaty3, Ran Abuhasira4,5,6

  • 1Rheumatic Diseases Unit, Emek Medical Center, Afula, Israel.

Rheumatology (Oxford, England)
|June 19, 2024
PubMed
概括

这项研究开发了一种机器学习模型,用于预测高尿血症患者的痛风风险. 该模型表现出良好的表现和高负预测值,有助于早期识别有风险的人群.

关键词:
大数据就是大数据.电子健康记录是电子健康记录.痛风是一种痛风.超血症是什么意思机器学习是机器学习.

更多相关视频

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.5K
Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis09:16

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Published on: June 18, 2020

6.9K

相关概念视频

Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration01:28

Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration

Glomerular filtration rate (GFR) can be estimated from serum creatinine using the modification of diet in renal disease (MDRD) formula or the chronic kidney disease–epidemiology collaboration (CKD–EPI) equation. Both methods are widely used in clinical practice to assess kidney function and guide treatment decisions.The MDRD equation does not require weight or height measurements and is normalized to the body surface area of 1.73 m², considered the average adult surface area. This equation is...