AIMC Topic: Pandemics
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Machine learning techniques to detect and forecast the daily total COVID-19 infected and deaths cases under different lockdown types.
Microscopy research and technique
Feb 1, 2021
COVID-19 has impacted the world in many ways, including loss of lives, economic downturn and social isolation. COVID-19 was emerged due to the SARS-CoV-2 that is highly infectious pandemic. Every country tried to control the COVID-19 spread by imposi...
Diagnosis of COVID-19 using CT scan images and deep learning techniques.
Emergency radiology
Feb 1, 2021
Early diagnosis of the coronavirus disease in 2019 (COVID-19) is essential for controlling this pandemic. COVID-19 has been spreading rapidly all over the world. There is no vaccine available for this virus yet. Fast and accurate COVID-19 screening i...
Pain Treatment Evaluation in COVID-19 Patients with Hesitant Fuzzy Linguistic Multicriteria Decision-Making.
Journal of healthcare engineering
Feb 1, 2021
The coronavirus disease 2019 (COVID-19) has emerged as a worldwide pandemic since March 2020. Although most patients complain of moderate or severe pain, these symptoms are generally underestimated and appropriate treatment is not applied. This study...
Smartwatch Electrocardiogram and Artificial Intelligence for Assessing Cardiac-Rhythm Safety of Drug Therapy in the COVID-19 Pandemic. The QT-logs study.
International journal of cardiology
Jan 29, 2021
BACKGROUND: QTc interval monitoring, for the prevention of drug-induced arrhythmias is necessary, especially in the context of coronavirus disease 2019 (COVID-19). For the provision of widespread use, surrogates for 12‑lead ECG QTc assessment may be ...
Accelerating Epidemiological Investigation Analysis by Using NLP and Knowledge Reasoning: A Case Study on COVID-19.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
COVID-19 is threatening the health of the entire human population. In order to control the spread of the disease, epidemiological investigations should be conducted, to trace the infection source of each confirmed patient and isolate their close cont...
Association of AI quantified COVID-19 chest CT and patient outcome.
International journal of computer assisted radiology and surgery
Jan 23, 2021
PURPOSE: Severity scoring is a key step in managing patients with COVID-19 pneumonia. However, manual quantitative analysis by radiologists is a time-consuming task, while qualitative evaluation may be fast but highly subjective. This study aims to d...
Estimation of COVID-19 Epidemiology Curve of the United States Using Genetic Programming Algorithm.
International journal of environmental research and public health
Jan 22, 2021
Estimation of the epidemiology curve for the COVID-19 pandemic can be a very computationally challenging task. Thus far, there have been some implementations of artificial intelligence (AI) methods applied to develop epidemiology curve for a specific...
A protocol for adding knowledge to Wikidata: aligning resources on human coronaviruses.
BMC biology
Jan 22, 2021
BACKGROUND: Pandemics, even more than other medical problems, require swift integration of knowledge. When caused by a new virus, understanding the underlying biology may help finding solutions. In a setting where there are a large number of loosely ...
Comparative Evaluation of the Treatment of COVID-19 with Multicriteria Decision-Making Techniques.
Journal of healthcare engineering
Jan 22, 2021
OBJECTIVES: The outbreak of coronavirus disease 2019 (COVID-19) was first reported in December 2019. Until now, many drugs and methods have been used in the treatment of the disease. However, no effective treatment option has been found and only case...
Automated processing of social media content for radiologists: applied deep learning to radiological content on twitter during COVID-19 pandemic.
Emergency radiology
Jan 18, 2021
PURPOSE: The purpose of this study was to develop an automated process to analyze multimedia content on Twitter during the COVID-19 outbreak and classify content for radiological significance using deep learning (DL).
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