相关实验视频

Updated: May 7, 2026

Dried Blood Spots - Preparing and Processing for Use in Immunoassays and in Molecular Techniques
11:28

Dried Blood Spots - Preparing and Processing for Use in Immunoassays and in Molecular Techniques

Published on: March 13, 2015

40.2K

从国家监测系统中估计急性C型肝炎病例中注射药物使用的患病率:基于随机森林的多重推算的应用

Shaoman Yin1, Kathleen N Ly, Laurie K Barker

  • 1Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, Georgia.

Journal of public health management and practice : JPHMP
|July 23, 2024
PubMed
概括

在型肝炎监测中,准确地归算注射药物使用 (IDU) 数据至关重要. 随机森林方法,特别是快速射频 (fRF),显著提高了IDU估计的数据准确性和效率.

更多相关视频

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma04:09

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
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

相关概念视频

Drug Accumulation During Multiple Dosing: Repetitive IV Injections01:21

Drug Accumulation During Multiple Dosing: Repetitive IV Injections

Calculating drug dosage and accumulation in multiple-dose regimens is crucial for achieving therapeutic efficacy while avoiding toxicity. This involves determining the plasma drug concentrations over time to optimize dosing schedules. The principle of superposition is fundamental in this process, allowing for the prediction of drug concentration in plasma following multiple doses based on single-dose data.The principle of superposition asserts that the plasma concentration-time curves from...
532
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
780