对乳牛体质评分方法的观察者间和观察者内部一致性进行描述性分析
D Swartz1, E Shepley1, L S Caixeta1
1Department of Veterinary Population Medicine, University of Minnesota, St. Paul, MN 55108.
Journal of dairy science
|July 9, 2025
概括
数字图像为传统的奶牛身体状况评分 (BCS) 提供了替代方案,但观察者变异性凸显了需要精细训练的需要. 这项研究评估了现场,基于图像和自主BCS方法之间的一致性.
科学领域:
- 动物科学动物科学
- 乳牛管理 乳牛管理
- 精准畜牧养殖 精准畜牧养殖 精准畜牧养殖
背景情况:
- 乳牛的传统身体状况评分 (BCS) 是主观的,劳动密集的.
- 数字成像和自主系统为更客观,更有效的BCS评估提供了潜力.
- 评估新技术与传统方法之间的一致性对于采用至关重要.
研究的目的:
- 评估现场BCS和数字图像衍生BCS之间的观察者间协议.
- 评估基于图像的BCS和自主BCS技术的观察者内部和观察者间协议.
- 为了比较各种基于图像的BCS模式及其与自主BCS数据的一致性.
主要方法:
- 现场BCS (BCS_O) 是由3名观察员收集的.
- 数字图像被用于基于图像的BCS (BCS_IMAGE) 由4名观察员.
- 自主BCS (BCS_AUTO) 数据被收集和汇总.
- 科恩的加权卡帕被用来评估协议.
主要成果:
- 对BCS_O的观察者间一致性很大 (kappa=0.73和0.64).
- BCS_O和基于图像的BCS之间的协议因观察者而异 (kappa = 0.410.63).
- 基于图像的模式和BCS_AUTO之间的协议通常低至中等,与特定站点的显著变化.
结论:
- 基于图像的BCS显示出作为传统方法的替代方案的希望.
- 基于图像的BCS中的观察者变异性需要改进的培训协议.
- 评估的方法可以帮助评估BCS培训的有效性.
相关概念视频
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT
127
Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
127
Testing a Claim about Standard Deviation
2.5K
A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
2.5K
Statistical Analysis: Overview
7.4K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
7.4K
Kendall's Coefficient of Concordance
540
Kendall's Coefficient of Concordance (W), also known as Kendall's W, is a non-parametric statistical measure used to assess the agreement or concordance between multiple raters or judges when they rank a set of items. It is often used when you have ordinal data (ranks) and you want to see if there is consistency or consensus among the raters. It is widely applied in research areas such as psychology, medicine, and social sciences, where multiple judges are asked to rank or rate subjects...
540


