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What is Sensitivity

Handbook of Research on Nanoelectronic Sensor Modeling and Applications
The change in measured output signal per gas concentration unit, that is, the slope of its calibration curve.
Published in Chapter:
Modeling, Design, and Applications of the Gas Sensors Based on Graphene and Carbon Nanotubes
Rafael Vargas-Bernal (Instituto Tecnológico Superior de Irapuato, Mexico)
DOI: 10.4018/978-1-5225-0736-9.ch007
Abstract
Gas sensing continues attracting research communities due to its potential applications in the sectors military, industrial and commercial. A special emphasis is placed on the use of carbon nanomaterials such as carbon nanotubes and graphene, as sensing materials. The chapter will be divided as follows: In the first part, a description of the main topologies and materials (carbon nanomaterials plus polymers, metals, ceramics or combinations between these groups) used to fabricate gas sensors based on graphene and carbon nanotubes that are operated by conductance or resistance electrical, is realized. Next, different mathematical models that can be used to simulate gas sensors based on these materials are presented. In the third part, the impact of the graphene and carbon nanotubes on gas sensors is exemplified with technical advances achieved until now. Finally, it is provided a prospective analysis on the role of the gas sensors based on carbon nanomaterials in the next decades.
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Artificial Neural Networks in Medicine: Recent Advances
The percentage of patients with a specific diagnosis or outcome that are correctly identified, which is the number of true positives divided by the sum of the true positives and false negatives.
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A Thorough Presentation of Autism Diagnostic Observation Schedule (ADOS-2)
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Algorithms for Detection and Classification of Abnormality in Mammograms: An Overview
Sensitivity is percentage of correctly classified abnormal samples and it is given by the ratio of true positive to the addition of true positive and false negative samples.
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Towards an Effective Imaging-Based Decision Support System for Skin Cancer
Measure of the ability of a clinician or decision support system to correctly identify those who have the disease.
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Best Practices in Dropout Prediction: Experience-Based Recommendations for Institutional Implementation
The performance metric for binary classifiers indicating the percentage of true positive cases correctly labelled as positive by the system.
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Characterization of Elevated Tumor Markers in Diagnosis of HCC Using Data Mining Methods
If the test diagnoses the patient with disease as having the disease, then it is referred to as sensitivity.
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An AI Walk from Pharmacokinetics to Marketing
Similar measure that offers the ratio of positives that are correctly classified by the model. (Refer to Specificity.)
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The Clinical Utility of Psychometric Tests: A Real-Data Approach From a Study Including Children With ADHD
The probability that the test result is positive for those participants with a clinical condition or a disease. High sensitivity tests produce few false negative results, but also increase the false positive rate. Sensitivity is also known as True Positive Rate (TPR).
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Surveillance Design After Initial Detection
True positive rate, the probability of detecting a hazard when it is present.
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Gamification in Education: Development of a Game Theory Equation
Degree of change in a given variable as a result of the change in another variable.
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Approaches of Early Detection of Autism Spectrum Disorders: A Brief Review
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ROC Analysis in Business Decision-makings
the probability that a diagnostic test can correctly identify a true case.
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Brain Tumor Segmentation Using Deep Learning Technique: 2D U-Net Model Variant for Tumor Segmentation
It is the parameter used to assess a model's capability to predict the proportion of real positive cases that were predicted as positive (or true positive).
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Robust Optimization Algorithms for Solving Automatic Generation Control of Multi-Constrained Power System: Robustness Study of AGC Problem in Power System
In control system application, the controller parameters are selected to match the process characteristics. However, in the due course of disturbance, process may changed. Therefore, controller parameters must be selected such that closed-loop response is less sensitive to these disturbances. Lower the sensitivity factor, higher the degree of relative stability of the system.
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Text Separation From Document Images: A Deep Learning Approach
Sensitivity is a percentage of correctly classified abnormal samples, and it is given by the ratio of true positive to the addition of true positive and false negative samples.
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Applications of Particle Swarm Optimization in Composite Power System Reliability Evaluation
Amount of change in the objective function with respect to the constraints.
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Using Receiver Operating Characteristic (ROC) Analysis to Evaluate Information -Based Decision-Making
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Addressing the Sustainable Development Goals Through Environmental Education
The degree to which a system is affected, either adversely or beneficially, by climate variability or change.
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Nanostructured Electromagnetic Metamaterials for Sensing Applications
The ratio of the resonant wavelength shift (or angular shift) to the refractive index variation of the materials under test.
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