Related Experiment Video
Updated: Aug 14, 2026
04:46
'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
Published on: September 18, 2018
Computerized nutrient data bases: II. Development of model for appraisal of nutrient data base system capabilities
Journal of the American Dietetic Association
|May 1, 1983
Summary
A new review model assesses the accuracy of computerized dietary analysis systems and their nutrient data. This validated tool helps developers improve database capabilities and program performance.
Area of Science:
- Nutrition Informatics
- Computational Nutrition
- Dietary Assessment Technology
Background:
- Computerized dietary analysis systems are crucial for nutritional assessment.
- Evaluating the accuracy and reliability of these systems and their underlying nutrient databases is essential.
- A standardized methodology for such evaluations has been lacking.
Purpose of the Study:
- To develop and present a review model for assessing the computational accuracy of computerized dietary analysis systems.
- To provide a strategy for examining the quality and status of nutrient data used in these systems.
- To offer a prototype tool that can be adapted for specific needs in dietary analysis research.
Main Methods:
- The developed model includes a questionnaire, five specific computing tasks, and an interpretation guide.
- The methodology was tested using seven different nutrient database systems.
- The review model systematically evaluates both the data and the computational performance.
Main Results:
- The review model proved to be a capable tool for assessing the capabilities and accuracy of nutrient database systems.
- Testing demonstrated the model's effectiveness in identifying areas for improvement in computational accuracy and data status.
- The model provides a systematic approach to evaluating complex dietary analysis software.
Conclusions:
- The developed review model offers a systematic methodology for evaluating computerized dietary analysis systems.
- This tool aids in ensuring the accuracy and reliability of nutrient data and computational outputs.
- Developers are encouraged to use this model to enhance their nutrient databases and software performance.
Related Concept Videos
02:35Key Elements for Plant Nutrition
Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the atmosphere, the...
01:03Data Validation
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Nursing assessment guides are generally based on holistic models rather than medical...
01:12Analysis of Population Pharmacokinetic Data
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
01:06Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
01:26Pharmacokinetic Models: Comparison and Selection Criterion
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
01:15Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions
PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure (CHF).