A systematic literature review on deep learning approaches for pneumonia detection using chest X-ray images
Abstract As per World Health Organization, in 2019, 2.5 million deaths were reported due to
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …
A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review
Background Lung diseases, both infectious and non-infectious, are the most prevalent
cause of mortality overall in the world. Medical research has identified pneumonia, lung …
cause of mortality overall in the world. Medical research has identified pneumonia, lung …
A deep learning model for early prediction of pneumonia using VGG19 and neural networks
Pneumonia is a disease that can be caused by bacteria, viruses, and fungi. According to
WHO, pneumonia is responsible for 22% of all deaths of children under the age of 1–5 years …
WHO, pneumonia is responsible for 22% of all deaths of children under the age of 1–5 years …
Modern machine‐learning predictive models for diagnosing infectious diseases
EY Alqaissi, FS Alotaibi… - … mathematical methods in …, 2022 - Wiley Online Library
Controlling infectious diseases is a major health priority because they can spread and infect
humans, thus evolving into epidemics or pandemics. Therefore, early detection of infectious …
humans, thus evolving into epidemics or pandemics. Therefore, early detection of infectious …
Systematic reviews of machine learning in healthcare: a literature review
K Kolasa, B Admassu… - Expert Review of …, 2024 - Taylor & Francis
Introduction The increasing availability of data and computing power has made machine
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …
Interventions to improve outcomes in community-acquired pneumonia
Introduction Community-acquired pneumonia (CAP) is a common infection associated with
high morbimortality and a highly deleterious impact on patients' quality of life and …
high morbimortality and a highly deleterious impact on patients' quality of life and …
Artificial intelligence for the optimal management of community-acquired pneumonia
MA Barbieri, V Battini, M Sessa - Current Opinion in Pulmonary …, 2024 - journals.lww.com
The development and implementation of AI-tools for hospitalization in CAP represent a
transformative approach to improving patient outcomes. The integration of AI into healthcare …
transformative approach to improving patient outcomes. The integration of AI into healthcare …
Classification of Paediatric Pneumonia Using Modified DenseNet-121 Deep-Learning Model
There is a substantial worldwide effect, both in terms of disease and death, that is caused by
pediatric pneumonia, which is a disorder that affects children under the age of five. Even …
pediatric pneumonia, which is a disorder that affects children under the age of five. Even …
An improved technique for pneumonia infected patients image recognition based on combination algorithm of smooth generalized pinball SVM and variational …
W Ratiphaphongthon, W Panup, R Wangkeeree - IEEE Access, 2022 - ieeexplore.ieee.org
We present a method based on combining a smooth generalized pinball support vector
machine (SVM) and variational autoencoders (VAEs) in chest X-ray (CXR) images. We …
machine (SVM) and variational autoencoders (VAEs) in chest X-ray (CXR) images. We …
Artificial intelligence in respiratory care: Current scenario and future perspective
S Al-Anazi, A Al-Omari, S Alanazi, A Marar… - Annals of Thoracic …, 2024 - journals.lww.com
BACKGROUND: This narrative review aims to explore the current state and future
perspective of artificial intelligence (AI) in respiratory care. The objective is to provide …
perspective of artificial intelligence (AI) in respiratory care. The objective is to provide …