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Related Concept Videos

Data Collection II01:29

Data Collection II

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The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
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Data Collection I01:30

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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...
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Data Collection by Experiments01:13

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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...
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Data Collection by Survey01:07

Data Collection by Survey

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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Data Collection by Observations01:08

Data Collection by Observations

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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...
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Data Collection III01:05

Data Collection III

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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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Related Experiment Video

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Using an Automated Hirschberg Test App to Evaluate Ocular Alignment
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The Cytoscape Automation app article collection.

Barry Demchak1, David Otasek1, Alexander R Pico2

  • 1Department of Medicine, University of California, San Diego, La Jolla, CA, 92093, USA.

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|July 10, 2018
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Summary

Cytoscape Automation enables reproducible workflows by allowing users to leverage specialized app functions. This enhances network analysis scalability and efficiency for large datasets.

Keywords:
AppAutomationCytoscapeNetwork AnalysisNetwork BiologyNetwork Visualization

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Network Science

Background:

  • Cytoscape is a leading platform for network data analysis, integration, and visualization.
  • Cytoscape's functionality is extended by community-developed applications.
  • Previous methods (CyREST) limited workflow access to basic Cytoscape functions, excluding app-based capabilities.

Discussion:

  • Cytoscape Automation provides programmatic access to Cytoscape's specialized app functions.
  • This enables the creation of reproducible and scalable workflows.
  • It facilitates the integration of advanced analyses into automated processes.

Key Insights:

  • Cytoscape Automation unlocks the full potential of Cytoscape apps for complex analyses.
  • Workflows can now incorporate high-value, app-specific functions.
  • Researchers can achieve efficient and economical analysis of large network datasets.

Outlook:

  • Facilitates the development of robust and scalable bioinformatics pipelines.
  • Supports reproducible research through automated, app-driven analyses.
  • Accelerates discovery in systems biology and other network-centric fields.