AIMC Topic: Respiratory Tract Diseases
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Artificial intelligence and machine learning in respiratory medicine.
Expert review of respiratory medicine
Mar 17, 2020
: The application of artificial intelligence (AI) and machine learning (ML) in medicine and in particular in respiratory medicine is an increasingly relevant topic.: We aimed to identify and describe the studies published on the use of AI and ML in t...
Importance of coding co-morbidities for APR-DRG assignment: Focus on cardiovascular and respiratory diseases.
Health information management : journal of the Health Information Management Association of Australia
May 1, 2019
BACKGROUND: The All Patient-Refined Diagnosis-Related Groups (APR-DRGs) system has adjusted the basic DRG structure by incorporating four severity of illness (SOI) levels, which are used for determining hospital payment. A comprehensive report of all...
Deep learning for identifying environmental risk factors of acute respiratory diseases in Beijing, China: implications for population with different age and gender.
International journal of environmental health research
Mar 31, 2019
This study focuses on identifying environmental health risk factors related to acute respiratory diseases using deep learning method. Based on respiratory disease data, air pollution data and meteorological environmental data, cross-domain risk facto...
Infant
Deep Learning
China
Adolescent
Young Adult
Adult
Male
Middle Aged
Acute Disease
Air Pollutants
Particulate Matter
Environmental Exposure
Incidence
Child, Preschool
Child
Age Factors
Humans
Female
Infant, Newborn
Risk Factors
Aged
Aged, 80 and over
Weather
Sex Factors
Beijing
Respiratory Tract Diseases
Synthesizing Chest X-Ray Pathology for Training Deep Convolutional Neural Networks.
IEEE transactions on medical imaging
Nov 14, 2018
Medical datasets are often highly imbalanced with over-representation of prevalent conditions and poor representation of rare medical conditions. Due to privacy concerns, it is challenging to aggregate large datasets between health care institutions....
Deep Convolutional Neural Networks for Chest Diseases Detection.
Journal of healthcare engineering
Aug 1, 2018
Chest diseases are very serious health problems in the life of people. These diseases include chronic obstructive pulmonary disease, pneumonia, asthma, tuberculosis, and lung diseases. The timely diagnosis of chest diseases is very important. Many me...
Assessing the impact of PM on respiratory disease using artificial neural networks.
Environmental pollution (Barking, Essex : 1987)
Jan 5, 2018
Understanding the impact on human health during peak episodes in air pollution is invaluable for policymakers. Particles less than PM can penetrate the respiratory system, causing cardiopulmonary and other systemic diseases. Statistical regression mo...
Associations between management practices and within-pen prevalence of calf diarrhea and respiratory disease on dairy farms using automated milk feeders.
Journal of dairy science
Dec 28, 2017
Data on management practices used with automated milk feeders (AMF) are needed to identify factors associated with calf health in these systems. The objectives of this observational, longitudinal, cross-sectional study were to estimate the prevalence...
Estimating the Causal Impact of Proximity to Gold and Copper Mines on Respiratory Diseases in Chilean Children: An Application of Targeted Maximum Likelihood Estimation.
International journal of environmental research and public health
Dec 27, 2017
In a town located in a desert area of Northern Chile, gold and copper open-pit mining is carried out involving explosive processes. These processes are associated with increased dust exposure, which might affect children's respiratory health. Therefo...
FUZZY COMPUTATIONAL MODELS TO EVALUATE THE EFFECTS OF AIR POLLUTION ON CHILDREN.
Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo
Nov 13, 2017
OBJECTIVE: To build a fuzzy computational model to estimate the number of hospitalizations of children aged up to 10 years due to respiratory conditions based on pollutants and climatic factors in the city of São José do Rio Preto, Brazil.
[Acoustic technology empowers the diagnosis and treatment of respiratory diseases: challenges, and prospects].
Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases
Jun 12, 2025
Respiratory diseases is a major challenge to global public health. In recent years, acoustic technology has shown great potential as a non-invasive and convenient diagnostic method for detecting and monitoring respiratory diseases. With the developme...
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