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Related Concept Videos

Classification of Illness01:17

Classification of Illness

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The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
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Leukocytes are classified into two groups based on the presence or absence of cytoplasmic granules. Granular leukocytes, which contain granules, belong to the myeloid lineage and are divided into three subtypes: neutrophils, eosinophils, and basophils. These cells are roughly spherical and characterized by the granules in their cytoplasm.
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Here is a stepwise guide to assessing the body temperature at the temporal artery using a temporal artery thermometer
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Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
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Classification is the process of organizing organisms into hierarchically inclusive groups based on their phenotypic similarities or evolutionary relationships. A species comprises one or more strains, and closely related species are grouped into genera. Genera are further classified into families, families into orders, orders into classes, and so forth, up to the domain level, which is the broadest taxonomic rank derived from a combination of phenotypic and genotypic data.The nomenclature of...
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Assessing Body Temperature - Tympanic membrane01:14

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Related Experiment Video

Updated: Sep 22, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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COVID-19 classification using thermal images.

Martha Rebeca Canales Fiscal1, Victor Treviño2,3, Luis Javier Ramírez Treviño1

  • 1Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Monterrey, Nuevo León, México.

Journal of Biomedical Optics
|May 19, 2022
PubMed
Summary

Thermal imaging shows limited success in detecting coronavirus disease-19 (COVID-19). Current diagnostic performance is insufficient for mass screening, despite contactless and noninvasive benefits.

Keywords:
coronavirus disease-19 classificationmachine learningthermal imagesthermal videos

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Area of Science:

  • Medical imaging
  • Biomedical engineering
  • Infectious disease diagnostics

Background:

  • Limited research exists on thermal imaging for remote detection of COVID-19.
  • Thermal imaging offers contactless, noninvasive, and radiation-free detection methods.
  • Accessibility and ease of use make thermal imaging a potential tool for respiratory illness screening.

Purpose of the Study:

  • Investigate thermal imaging for identifying SARS-CoV-2 infected individuals.
  • Explore breathing pattern analysis in thermal videos for COVID-19 detection.
  • Assess the efficacy of infrared technology in remote disease identification.

Main Methods:

  • Extracted signal moment, texture, and shape features from thermal video clips.
  • Utilized optical flow and super-resolution techniques on thermal images.
  • Employed machine learning for classifying COVID-19 positive and negative cases based on extracted features from five body regions.

Main Results:

  • Detection reliability was higher in male models (ROC AUC = 0.605) than female models (ROC AUC = 0.577).
  • Overall sensitivity and specificity for COVID-19 detection using thermal imaging were below 60%.
  • The chest view in males showed metrics above 60%, but overall performance was not highly sensitive or specific.

Conclusions:

  • Remote identification of some individuals with COVID-19 may be possible using thermal imaging.
  • Current body thermal imaging methods lack sufficient diagnostic performance for mass screening.
  • Further research and technological advancements are needed to improve the accuracy and reliability of thermal imaging for infectious disease detection.