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相关概念视频

Data Collection by Observations01:08

Data Collection by Observations

15.2K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
15.2K
Data Collection by Experiments01:13

Data Collection by Experiments

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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
27.7K
Data Collection I01:30

Data Collection I

8.8K
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
8.8K
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

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Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
1.2K
Data Collection III01:05

Data Collection III

4.7K
The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the...
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Pedigree Analysis01:35

Pedigree Analysis

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Overview
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相关实验视频

Updated: Feb 24, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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LINC:在数字表型研究中保持高质量的被动数据的框架.

Elombe Calvert1, Erlend Lane1, Matthew Flathers1

  • 1Department of Psychiatry, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA, 02115, USA.

Scientific reports
|February 22, 2026
PubMed
概括

通过系统化设备设置,参与者参与和数据监控的程序,LINC框架改善了数字表型中的被动数据收集. 这种方法在现实智能手机研究中显著提高了数据质量.

关键词:
数据质量数据质量数据质量数字化表型化是指数字化表型化.我们的框架框架框架.失踪情况 失踪情况被动感应是一种被动感应.智能手机传感器的传感器

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科学领域:

  • 数字健康数字健康
  • 移动健康 (mHealth) 服务提供商
  • 行为科学 行为科学

背景情况:

  • 基于智能手机的数字表型化在收集高质量的被动数据方面面临挑战,原因是技术障碍和用户参与度低.
  • 现有的方法通常严重依赖于数据归算或基于模型的方法,这些方法可能不会准确地反映现实世界的行为.

研究的目的:

  • 引入LINC (启动,交互,通知,正确),这是一个最佳实践框架,用于增强在数字表型研究中的被动数据收集.
  • 为实现LINC提供实际资源,而不需要专门的技术专业知识.

主要方法:

  • 该LINC框架系统化了四个关键领域的操作程序:设备/应用程序配置,参与者参与,实时数据监控和数据收集中断的故障排除.
  • 为了证明该框架的可行性,研究人员使用了一项大型观察性研究 (n=373),在2-3周内检查了社交媒体使用和青少年心理健康.

主要成果:

  • 该研究使用LINC框架实现了基于GPS的中位数被动数据质量0.92 (IQR:0.59-0.98).
  • 75%的参与者超过了0.59的数据质量得分,25%超过了0.98,这表明数据质量很高.

结论:

  • 在基于智能手机的数字表型研究中,LINC框架是实现高质量的被动数据的可行和有效方法.
  • 这种系统化的方法为归算和基于模型的方法提供了切实可行的替代方案,在现实研究环境中提高了数据可靠性.