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Related Concept Videos

Pulmonary Function Tests01:25

Pulmonary Function Tests

444
Pulmonary Function Tests (PFTs)
Pulmonary Function Tests are crucial diagnostic tools for assessing respiratory function, particularly in patients with chronic respiratory disorders. They comprehensively evaluate lung volumes, ventilatory function, breathing mechanics, diffusion, and gas exchange. These tests help diagnose pulmonary diseases and play a significant role in monitoring disease progression, evaluating disability, and assessing response to therapy.
PFTs involve using a spirometer, a...
444
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies01:27

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies

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Assessing and diagnosing Chronic Obstructive Pulmonary Disease (COPD) involves a detailed approach that includes a comprehensive review of medical history, physical examination, and a variety of diagnostic tests. This thorough evaluation is essential to ensure an accurate diagnosis and guide effective management strategies.
Medical History
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Lung Capacity01:47

Lung Capacity

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The air in the lungs is measured in volumes and capacities. Lung volume measures reflect the amount of air taken in, released, or left over after a lung function, like a single inhalation. Lung capacity measures are sums of two or more lung volume measures.
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Assessment of Respiration01:23

Assessment of Respiration

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The respiratory system's basic structures and primary functions lay the foundation for nurses' comprehensive respiratory assessments. This assessment includes subjective and objective data to gauge the patient's respiratory health.
Subjective Assessment: Nurses interview the patient to gather information directly during the subjective assessment. It includes questions about the individual's medical history, medications, and symptoms, focusing on past respiratory conditions like...
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Physical Assessment of the Respiratory Tract I: Health History01:28

Physical Assessment of the Respiratory Tract I: Health History

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Physical assessment of the respiratory tract is critical to patient care. It allows healthcare professionals to identify and manage various respiratory conditions. The process involves a combination of subjective and objective data collection.
Subjective Data
Subjective data provides vital information about the patient's health history and symptoms. This data is typically collected through interviews in which patients describe their experiences, symptoms, and concerns.
Health history and...
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Asthma-IV: Diagnostic and Management01:30

Asthma-IV: Diagnostic and Management

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The diagnosis and management of asthma are comprehensive, encompassing clinical assessments, lung function tests, and pharmacological interventions. Here's an overview:
Clinical Assessment for Asthma:
This is the first step in diagnosing and managing asthma. It includes:
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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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Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

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LHSPred: A web based application for predicting lung health severity.

Sudipto Bhattacharjee1, Banani Saha1, Parthasarathi Bhattacharyya2

  • 1Department of Computer Science and Engineering, University of Calcutta, JD-2, Sector-III, Salt Lake, Kolkata 700098, India.

Biomedical Signal Processing and Control
|May 18, 2022
PubMed
Summary

LHSPred is a web tool that predicts pneumonia risk and lung health severity using blood test results and age, aiding early assessment and post-COVID-19 monitoring without CT scans.

Keywords:
COVID-19HRCT scan imageLung healthMulti-layer Perceptron RegressionPneumoniaSupport Vector Regression

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Pulmonology

Background:

  • Computed Tomography (CT) scan facilities are critical for diagnosing lung diseases but are currently overburdened due to the COVID-19 pandemic.
  • Early assessment of lung health and monitoring post-recovery are essential for managing pulmonary conditions.
  • Existing diagnostic methods can be time-consuming and resource-intensive, necessitating innovative solutions.

Purpose of the Study:

  • To develop and evaluate LHSPred, a web-based tool for predicting lung health severity and pneumonia risk.
  • To provide a non-CT scan-based method for assessing lung health using readily available patient data.
  • To support clinicians in decision-making and enable patient self-assessment for pulmonary conditions.

Main Methods:

  • LHSPred utilizes Support Vector Regression (SVR) and Multi-Layer Perceptron Regression (MLPR) models.
  • These models were trained on literature-reported COVID-19 patient data, incorporating blood examination features and patient age.
  • A web application was developed to implement the trained regression models for calculating a CT severity score and predicting pneumonia risk.

Main Results:

  • The SVR model achieved a Pearson Correlation Coefficient (PCC) of 0.77 and a Mean Absolute Error (MAE) of 2.239 for CT severity scoring.
  • The MLPR model demonstrated comparable performance with a PCC of 0.77 and an MAE of 2.309.
  • The tool proved effective and user-friendly in clinical settings for pulmonary disease management.

Conclusions:

  • LHSPred serves as a valuable decision support system for clinicians in managing pulmonary diseases.
  • The tool facilitates early lung health assessment and post-COVID-19 monitoring, reducing reliance on CT scans.
  • It empowers patients with a self-assessment tool using basic blood test results and age.