•Journal•ISSN: 2352-9148
Informatics in Medicine Unlocked
Elsevier BV
About: Informatics in Medicine Unlocked is an academic journal published by Elsevier BV. The journal publishes majorly in the area(s): Medicine & Computer science. It has an ISSN identifier of 2352-9148. It is also open access. Over the lifetime, 1145 publications have been published receiving 14281 citations. The journal is also known as: IMU.
Topics: Medicine, Computer science, Biology, Chemistry, Internal medicine
Papers
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TL;DR: In this paper, an Artificial Intelligence (AI)-powered screening solution for COVID-19 infection that is deployable via a smartphone app is proposed, based on the prior work on cough-based diagnosis of respiratory diseases.
367 citations
TL;DR: This paper aims to introduce a deep learning technique based on the combination of a convolutional neural network (CNN) and long short-term memory (LSTM) to diagnose COVID-19 automatically from X-ray images, which achieved desired results on the currently available dataset.
358 citations
TL;DR: The results of the study indicate that ensemble techniques, such as bagging and boosting, are effective in improving the prediction accuracy of weak classifiers, and exhibit satisfactory performance in identifying risk of heart disease.
302 citations
TL;DR: Several deep convolutional networks with the introduced training techniques for classifying X-ray images into three classes: normal, pneumonia, and COVID-19 are trained, and a neural network that is a concatenation of Xception and ResNet50V2 networks is proposed that achieved the best accuracy.
290 citations
TL;DR: A novel model based on data mining techniques for predicting type 2 diabetes mellitus (T2DM) based on a series of preprocessing procedures is proposed and is shown to be useful for the realistic health management of diabetes.
258 citations