Deep Dive with Contagion: COVID-19

An Analysis of the COVID-19 Contagion Growth in European Countries

The COVID-19 pandemic has affected many people around the globe. Europe, as one of the most seriously affected continents, has been struggling with the novel coronavirus for several months. Obviously, outbreak response management plays a critical role in the impact of the disease. Therefore, in this paper, Malmquist Productivity Index is used to evaluate the performance of the most severely aff...

Dive deeper: Deep Semantics for Sentiment Analysis

This paper illustrates the use of deep semantic processing for sentiment analysis. Existing methods for sentiment analysis use supervised approaches which take into account all the subjective words and or phrases. Due to this, the fact that not all of these words and phrases actually contribute to the overall sentiment of the text is ignored. We propose an unsupervised rule-based approach using...

Nutrition and Infection with COVID-19

Classification of Chest Radiology Images in Order to Identify Patients with COVID-19 Using Deep Learning Techniques

Background and Aim: Due to the important role of radiological images for identifying patients with COVID-19, creating a model based on deep learning methods was the main objective of this study. Materials and Methods: 15,153 available chest images of normal, COVID-19, and pneumonia individuals which were in the Kaggle data repository was used as dataset of this research. Data preprocessing inc...

Group's deep data dive helps optimize medical equipment maintenance.

To get the most out of its preventive maintenance (PM) activities, Technical Services Partnership (TSP) at the University of Vermont first needed to determine the failure rate for various types of healthcare technology. This massive undertaking, deemed the Comprehensive Preventive Maintenance Frequency Adjustment Project, would provide TSP with the data it needed to optimize equipment maintenan...