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What is Validation

Interdisciplinary Approaches to Altering Neurodevelopmental Disorders
Validating a machine learning model to evaluate a trained model using a test data set once a model is trained using a training data set.
Published in Chapter:
A Review of Supportive Computational Approaches for Neurological Disorder Identification
Dulani Meedeniya (University of Moratuwa, Sri Lanka) and Iresha Rubasinghe (University of Moratuwa, Sri Lanka)
DOI: 10.4018/978-1-7998-3069-6.ch016
Abstract
At present there is a growth of physical symptoms with psychological overlays, resulting in neurodevelopment disorders, where both psychiatrist and medical specialties work in collaboration to provide optimal care for the patients. Disorders such as autism spectrum disorder, attention-deficit hyperactivity disorder, Down syndrome, cerebral palsy, sickle cell disease, and Alzheimer disease are more prevalent. These may have a genetic influence and give certain behavioural disturbances due to associated medical issues. The symptoms are observable in early childhood, and they may consist of comorbid medical disorders. This chapter addresses recent studies together with the applied techniques in this context. Further, this chapter shows the limitations, challenges in current practices, and possible future research directions.
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Integrated Data Mining and Business Intelligence
It is the process of assessing how well data mining models perform against real data. It is important that to validate data mining models by understanding their quality and characteristics before to deploy them into a production environment.
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Teaching and Assessing Data Literacy for Adolescent Learners
The process of gathering the evidence to support the arguments that the test score interpretation or use is valid (i.e., collecting validity evidence) ( Haladyna, 2006 ).
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Completeness Concerns in Requirements Engineering
It is the activity of contrasting a model with the actual world. It should answer the question “Are we creating the right model?”
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Verification and Validation of Medical Cyber-Physical Systems
Stage of the software design process that aim to evaluate if the developer is building the right product.
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Behavioral Modeling
A process used to determine that a model of some real-world phenomenon is appropriately representing the relationships, processes, and/or behavior of the actual phenomenon for a specified context.
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High-Performance Liquid Chromatography as Quality Control for the Pharmaceutical and Medical Industry
The process of ensuring that the performance characteristics of an analytical method are reproducible.
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A Simulation Model for Resource Balancing in Healthcare Systems
Validation usually is achieved through the calibration of the model, an iterative process of comparing the model against actual system behavior and using the discrepancies between the two, and the insight gained, to improve the model. This process is repeated until model accuracy is judged acceptable.
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Data Mining through Modelling in Irrigation Commands
Process through which a calibrated model is ascertained to have the behaviour of the prototype in extreme conditions.
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Towards Quality Web Information Systems Through Precise Model-Driven Development
Validation analyzes whether the observable behaviour of a system is in agreement with the requirements. With regard to validation techniques, one of the most used is the scenarios and use-case simulation. This technique analyzes the system behaviour in order to ensure that it is the same as the functionality expected of the system. Simulation languages (as ASL) or tools (as Statemate) can be used.
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Information Technology Projects System Development Life Cycles: Comparative Study
Is asking the question are we building the right product?Verification: Is asking the question are we building the product right?
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Agent-Based Modeling: A Historical Perspective and a Review of Validation and Verification Efforts
The process of determining whether a simulation model is an accurate representation of a system.
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Creating and Analyzing Induced Decision Trees From Online Learning Data
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Creating Software System Context Glossaries
Validation is the activity of contrasting a model with the actual world. It should answer the question “Are we creating the right model?”
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Motion Planning Method for In-Pipe Walking Robots Using Height Maps and CNN-Based Pipe Branches Detector
A procedure of computing a performance metric for a neural network, using samples that were not used in the network training.
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Investigating Software Testing Practices in Software Development Organizations: Sri Lankan Experience
At the end of the development process, validation is the method of reviewing code to decide whether it satisfies customer expectations or specifications. The aim of validation is to guarantee that the product actually meets the requirements of the consumer and to verify that the specifications are correct in the first place. “Testing like black-box testing, white box testing, gray box testing, etc.” are involved in validation.
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Hydrologic Modeling Using SWAT: Test the Capacity of SWAT Model to Simulate the Hydrological Behavior of Watershed in Semi-Arid Climate
Verification of model hydrograph using other time series while maintaining the same calibration parameters.
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Unified Approach to Integrated Food Quality and Safety Management
Food safety obtaining evidence that a control measure (or combination of control measures) will be capable of effectively controlling the significant food safety hazard.
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Dealing with Completeness in Requirements Engineering
The activity of contrasting a model with the actual world. It should answer the question: Are we creating the right model?
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Web Accessibility: Current Trends
The determination of a valid or invalid web page or site and repair tools, techniques, or advice which attempts to enable the correction of parts of a site which are not valid.
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Incremental Neural Network Training for Medical Diagnosis
The process of checking whether overfitting (overlearning) is reached during neural network training.
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Designing Complex Organizations Computationally
An activity focused on ensuring that the structures and behaviors of computational models match those of the real-world entities represented by such models.
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Knowledge Transfer Between Senior and Novice Software Testers: A Qualitative Analysis in Sri Lankan Software Companies
At the end of the development process, validation is the method of reviewing code to decide whether it satisfies customer expectations or specifications. The aim of Validation is to guarantee that the product actually meets the requirements of the consumer and to verify that the specifications are correct in the first place. “Testing like black-box testing, white box testing, gray box testing, etc.” are involved in validation
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Flow-Based Structural Modelling and Dynamic Simulation of Lake Water Levels
Refers to evaluating model reliability by comparing its output with extensive empirical findings.
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Usage of Differential Evolution Algorithm in the Calibration of Parametric Rainfall-Runoff Modeling
Comparison of model results with numerical data independently derived from experiments or observations of the environment.
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Virtual Learning Environments for Culture and Intercultural Competence
The process of inspecting, testing, and confirming the accuracy of a model used to drive a computer simulation.
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A Road Map for the Validation, Verification and Testing of Discrete Event Simulation
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Data Gathering to Build and Validate Small-Scale Social Models for Simulation
Facing any kind of simulation, there is a necessity to define a way to assess the quality of the model in its representation of quality. In the case of simulation models, it is important to first check that the implemented model corresponds to the model description ( internal validation or verification ). Then one has to see if the model has some structural equivalence with the observed real world, to make sure that it is interesting to use the simulation model to understand, predict, or exemplify this reality. It is common to consider that depending on the aim of the modeling process, the model cannot be validated in the same manner.
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A Practical Approach to Computerized System Validation
Documented evidence providing a high degree of assurance that a specific process under consideration does what it purposes to do. Validation deals with the entire system lifecycle to ensure a system satisfies user requirements, meets compliance expectations and adequately maintained to provide a secure environment with accurate, reliable, and traceable information from conception to retirement. The term is also used to describe the overall validation approach including qualification. Validation includes but is not limited to manufacturing processes, equipments, computerized system, etc.
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