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Related Concept Videos

Data: Types and Distribution01:19

Data: Types and Distribution

In biostatistics, data are the observations collected for analysis. There are two main types: parametric and non-parametric. Parametric data, which include continuous (e.g., weight) and discrete numerical data (e.g., number of tablets), assume a particular distribution pattern, often the normal distribution. Non-parametric data do not adhere to a specific distribution and typically comprise nominal (e.g., gender) and ordinal categorical data (e.g., pain scale ratings).
Distributions in...
Data Collection III01:05

Data Collection III

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 patient.
Methods of Documentation III: PIE01:21

Methods of Documentation III: PIE

Problem-intervention-evaluation (PIE) is a systematic approach to documentation used in healthcare settings for clinical decision-making and patient care planning. It is a structured approach to organizing patient data based on problems, interventions, and evaluations. Here's a breakdown of its key features and considerations:
Methods of Documentation I: Source-Oriented Records01:18

Methods of Documentation I: Source-Oriented Records

Source-oriented records, or SOR, are medical record-keeping organized by the data source. The SOR system was first developed in the mid-1900s to organize the growing patient data in hospitals and other healthcare facilities.
In an SOR, each discipline involved in patient care maintains a separate medical record section. This record-keeping method enables easy tracking of patient progress and ensures healthcare staff have access to up-to-date information.
Key Attributes include the following:
Methods of Documentation IV: Focus Charting01:26

Methods of Documentation IV: Focus Charting

Focus Charting, also known as the focus charting system or "focus documentation," is a systematic documentation approach used in healthcare to organize patient information in medical records.
It typically involves three columns for recording information:
Data Collection II01:29

Data Collection II

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 family,...

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Related Experiment Video

Updated: May 28, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

D³: Data-Driven Documents.

Michael Bostock1, Vadim Ogievetsky, Jeffrey Heer

  • 1Computer Science Department of Stanford University, Stanford, CA 94305, USA. mbostock@stanford.edu

IEEE Transactions on Visualization and Computer Graphics
|October 29, 2011
PubMed
Summary
This summary is machine-generated.

Data-Driven Documents (D3) offers a novel, transparent approach to web visualization by directly using the Document Object Model (DOM). This method enhances expressiveness, debugging, and performance for dynamic data-driven web content.

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Published on: November 22, 2019

Area of Science:

  • Computer Science
  • Information Visualization
  • Web Technologies

Background:

  • Traditional web visualization often relies on toolkit-specific abstractions, obscuring the underlying structure.
  • Direct manipulation of visualization components can be challenging with existing methods.

Purpose of the Study:

  • Introduce Data-Driven Documents (D3) as a novel, representation-transparent approach to web visualization.
  • Demonstrate how D3 improves expressiveness, debugging, and performance compared to prior methods.

Main Methods:

  • D3 enables direct inspection and manipulation of the Document Object Model (DOM).
  • Input data is selectively bound to document elements for dynamic content generation and modification.
  • Leverages representational transparency for improved integration with developer tools.

Main Results:

  • D3 offers enhanced expressiveness and better integration with developer tools.
  • Achieves comparable notational efficiency and retains powerful declarative components.
  • Transforms naturally enable animation and interaction with significant performance improvements.

Conclusions:

  • Representational transparency in D3 simplifies debugging and iterative development.
  • D3 provides a powerful and efficient method for creating dynamic, data-driven web visualizations.
  • The approach offers performance benefits over visualizations using intermediate representations.