4.4 Article

Development of a decision support system tool to predict the pulmonary function using artificial neural network approach

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Environmental Sciences

Human Activities Impact Prediction in Vegetation Diversity of Lar National Park in Iran Using Artificial Neural Network Model

Ali Jahani et al.

Summary: The study introduced how to use an artificial neural network model to predict the impact of human activities on vegetation diversity in Iran's Lar National Park, evaluating the relationships between different stressors and effects through surveying vegetation sample plots. The results showed that the MLP model could effectively predict the impact of human activities on vegetation diversity.

INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT (2021)

Article Biochemical Research Methods

Prediction of hypericin content in Hypericum perforatum L. in different ecological habitat using artificial neural networks

Maryam Saffariha et al.

Summary: The MLP model (R-2=0.87) was found to be more accurate in predicting hypericin content in H. perforatum compared to RBF (R-2=0.8) and SVM (R-2=0.54) models. Sensitivity analysis revealed that phenological stages, hill aspects, total nitrogen, altitude, and organic carbon are the most influential factors affecting hypericin content in the plant.

PLANT METHODS (2021)

Article Multidisciplinary Sciences

Artificial intelligence accuracy assessment in NO2 concentration forecasting of metropolises air

Seyedeh Reyhaneh Shams et al.

Summary: This study compares the regression analysis and neural network model for predicting NO2 pollutants, with the neural network model showing more accurate predictions. Sensitivity analysis of the model indicates that park area, average green space area, and one-day time delay are crucial parameters influencing NO2 concentration in the air.

SCIENTIFIC REPORTS (2021)

Article Multidisciplinary Sciences

Modeling of trees failure under windstorm in harvested Hyrcanian forests using machine learning techniques

Ali Jahani et al.

Summary: The study compared different neural network models to identify susceptible trees in windstorm disturbances, with the Multi-Layer Perceptron (MLP) model performing the best with high accuracy in classifying target trees. By prioritizing factors such as mean tree height, tree crown diameter, and target tree height, a model for identifying susceptible trees in Hyrcanian forests was successfully developed.

SCIENTIFIC REPORTS (2021)

Article Environmental Sciences

Tourism impact assessment modeling of vegetation density for protected areas using data mining techniques

Ali Jahani et al.

LAND DEGRADATION & DEVELOPMENT (2020)

Proceedings Paper Engineering, Biomedical

A Decision Support System for Chronic Obstructive Pulmonary Disease (COPD)

Ernesto Iadanza et al.

WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2018, VOL 3 (2019)

Article Biophysics

Predicting spirometry readings using cough sound features and regression

Roneel V. Sharan et al.

PHYSIOLOGICAL MEASUREMENT (2018)

Review Respiratory System

Artificial intelligence in diagnosis of obstructive lung disease: current status and future potential

Nilakash Das et al.

CURRENT OPINION IN PULMONARY MEDICINE (2018)

Editorial Material Medicine, General & Internal

Spirometry: key to the diagnosis of respiratory disorders

John R. Wheatley

MEDICAL JOURNAL OF AUSTRALIA (2017)

Article Computer Science, Artificial Intelligence

Chest diseases diagnosis using artificial neural networks

Orhan Er et al.

EXPERT SYSTEMS WITH APPLICATIONS (2010)

Article Health Care Sciences & Services

Prediction of Forced Expiratory Volume in Pulmonary Function Test using Radial Basis Neural Networks and k-means Clustering

Sujatha C. Manoharan et al.

JOURNAL OF MEDICAL SYSTEMS (2009)

Article Instruments & Instrumentation

Comparison of Two ANN Methods for Classification of Spirometer Data

Sujatha C. Manoharan et al.

MEASUREMENT SCIENCE REVIEW (2008)

Article Biophysics

Neural network-based classification of normal and abnormal pulmonary function using spirometric measurements

Mahesh Veezhinathan et al.

JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY (2007)

Article Respiratory System

Symptom-based questionnaire for identifying COPD in smokers

David B. Price et al.

RESPIRATION (2006)

Article Computer Science, Information Systems

Neural networks for the prediction of spirometric reference values

T Botsis et al.

MEDICAL INFORMATICS AND THE INTERNET IN MEDICINE (2003)