scholarly journals An Integrated Deep Learning and Belief Rule Base Intelligent System to Predict Survival of COVID-19 Patient under Uncertainty

Author(s):  
Tawsin Uddin Ahmed ◽  
Mohammad Newaj Jamil ◽  
Mohammad Shahadat Hossain ◽  
Raihan Ul Islam ◽  
Karl Andersson

AbstractThe novel Coronavirus-induced disease COVID-19 is the biggest threat to human health at the present time, and due to the transmission ability of this virus via its conveyor, it is spreading rapidly in almost every corner of the globe. The unification of medical and IT experts is required to bring this outbreak under control. In this research, an integration of both data and knowledge-driven approaches in a single framework is proposed to assess the survival probability of a COVID-19 patient. Several neural networks pre-trained models: Xception, InceptionResNetV2, and VGG Net, are trained on X-ray images of COVID-19 patients to distinguish between critical and non-critical patients. This prediction result, along with eight other significant risk factors associated with COVID-19 patients, is analyzed with a knowledge-driven belief rule-based expert system which forms a probability of survival for that particular patient. The reliability of the proposed integrated system has been tested by using real patient data and compared with expert opinion, where the performance of the system is found promising.

2020 ◽  
Author(s):  
Pooja Patel ◽  
Hans House

Abstract The Novel Coronavirus (SARS-CoV-2) was introduced into the United States via travel from Asia and Europe, although the extent of the spread of the disease was limited in the early days of the pandemic. Consequently, international travel may have played a role in the transmission of the disease into Iowa. This study seeks to determine how preferences for international travel changed as novel Coronavirus Disease (COVID-19) spread throughout the world and if any of these returning travelers developed COVID-19 as a result of their trips. This is a retrospective chart review of patients presenting to a travel clinic in Bettendorf, Iowa for pre-travel advice and vaccinations. From October 2019 to March 2020, four hundred twelve (n=412) patients presented to the clinic. Intended travel to the Western Pacific region (China, Japan, Korea, etc.) decreased dramatically during the study period. All 412 patients were followed in the electronic medical record for the period after their planned travel and only three (3) presented for COVID-19 testing. Two (2) tested positive, and both of these infections were linked to workplace exposures and not due to travel. News of the growing pandemic and travel warnings likely altered patients’ travel plans and decreased travel to the most affected regions of the world in the early months of the COVID-19 pandemic. Based on our study, travel was not a significant source of COVID-19 exposure for patients seen at this clinic.


2020 ◽  
Vol 34 (1-2) ◽  
pp. 24-27
Author(s):  
Aakash Pandita ◽  
Girish Gupta

The world has recently been hit by a pandemic caused by the novel Coronavirus infection. The infection is highly contagious and possesses a significant risk for health care workers caring for the infected patients. With more than 200 countries being affected and around 3,00,000 deaths across the globe, the essential supply of masks and personal protective equipment has been falling short of the ever increasing need. In such crisis there is a need for innovating and designing endogenous masks and equipment to avoid compromise in care of the effected patients and for safeguarding the health of health care workers.


Algorithms ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 213
Author(s):  
Sharif Noor Zisad ◽  
Etu Chowdhury ◽  
Mohammad Shahadat Hossain ◽  
Raihan Ul Islam ◽  
Karl Andersson

Visual sentiment analysis has become more popular than textual ones in various domains for decision-making purposes. On account of this, we develop a visual sentiment analysis system, which can classify image expression. The system classifies images by taking into account six different expressions such as anger, joy, love, surprise, fear, and sadness. In our study, we propose an expert system by integrating a Deep Learning method with a Belief Rule Base (known as the BRB-DL approach) to assess an image’s overall sentiment under uncertainty. This BRB-DL approach includes both the data-driven and knowledge-driven techniques to determine the overall sentiment. Our integrated expert system outperforms the state-of-the-art methods of visual sentiment analysis with promising results. The integrated system can classify images with 86% accuracy. The system can be beneficial to understand the emotional tendency and psychological state of an individual.


2020 ◽  
Author(s):  
Hans House ◽  
Pooja Patel

Abstract The Novel Coronavirus (SARS-CoV-2) was introduced into the United States due to travel from Asia and Europe, although the extent of the spread of the disease was limited in the early days of the Pandemic. International travel may have played a role in the transmission of the disease into Iowa. Persons planning international travel likely modified their travel plans as a result of the viral outbreak. This study, documenting the travel destinations of patients from a clinic in Bettendorf, Iowa, seeks to determine how preferences for international travel changed as Coronavirus Disease (COVID-19) spread throughout the world and if any of these patients developed COVID-19 as a result of their travel. From October 2019 to March 2020, four hundred twelve (n=412) patients presented for pre-travel advice. Intended travel to the Western Pacific region (China, Japan, Korea, etc.) decreased dramatically during the study period. Of the 412 patients, only three (3) presented for COVID-19 testing during the follow-up period. Two (2) tested positive, and both of these infections were linked to workplace exposures and not due to travel. News of the growing pandemic and travel warnings likely altered patient’s travel plans and fewer intended travel to the most affected regions of the world in the early months of the COVID-19 pandemic. Travel was not a significant source of COVID-19 exposure for patients seen at this clinic.


Author(s):  
Pooja Patel ◽  
Hans R. House

AbstractThe Novel Coronavirus (SARS-CoV-2) was introduced into the United States via travel from Asia and Europe, although the extent of the spread of the disease was limited in the early days of the pandemic. Consequently, international travel may have played a role in the transmission of the disease into Iowa. This study seeks to determine how preferences for international travel changed as novel Coronavirus Disease (COVID-19) spread throughout the world and if any of these returning travelers developed COVID-19 as a result of their trips. This is a retrospective chart review of patients presenting to a travel clinic in Bettendorf, Iowa for pre-travel advice and vaccinations. From October 2019 to March 2020, four hundred twelve (n = 412) patients presented to the clinic. Intended travel to the Western Pacific region (China, Japan, Korea, etc.) decreased dramatically during the study period. All 412 patients were followed in the electronic medical record for the period after their planned travel and only three (3) presented for COVID-19 testing. Two (2) tested positive, and both of these infections were linked to workplace exposures and not due to travel. News of the growing pandemic and travel warnings likely altered patients’ travel plans and decreased travel to the most affected regions of the world in the early months of the COVID-19 pandemic. Based on our study, travel was not a significant source of COVID-19 exposure for patients seen at this clinic.


2020 ◽  
Vol 40 (03) ◽  
pp. 264-269 ◽  
Author(s):  
Florian Langer ◽  
Stefan Kluge ◽  
Robert Klamroth ◽  
Johannes Oldenburg

AbstractThe novel coronavirus, SARS-CoV-2, is causing a global pandemic of life-threatening multiorgan disease, called COVID-19. Accumulating evidence indicates that patients with COVID-19 are at significant risk of thromboembolic complications, mainly affecting the venous, but also the arterial vascular system. While the risk of venous thromboembolism (VTE) appears to be higher in patients requiring intensive care unit support compared to those admitted to general wards, recent autopsy findings and data on the timing of VTE diagnosis relative to hospitalization clearly suggest that thromboembolic events also contribute to morbidity and mortality in the ambulatory setting. In addition to a severe hypercoagulable state caused by systemic inflammation and viral endotheliitis, some patients with advanced COVID-19 may develop a coagulopathy, which meets established laboratory criteria for disseminated intravascular coagulation, but is not typically associated with relevant bleeding. Similar to other medical societies, the Society of Thrombosis and Haemostasis Research has issued empirical recommendations on initiation, dosing, and duration of pharmacological VTE prophylaxis in COVID-19 patients.


2020 ◽  
Author(s):  
Pooja Patel ◽  
Hans House

Abstract The Novel Coronavirus (SARS-CoV-2) was introduced into the United States via travel from Asia and Europe, although the extent of the spread of the disease was limited in the early days of the pandemic. Consequently, international travel may have played a role in the transmission of the disease into Iowa. This study seeks to determine how preferences for international travel changed as novel Coronavirus Disease (COVID-19) spread throughout the world and if any of these returning travelers developed COVID-19 as a result of their trips. This is a retrospective chart review of patients presenting to a travel clinic in Bettendorf, Iowa for pre-travel advice and vaccinations. From October 2019 to March 2020, four hundred twelve (n=412) patients presented to the clinic. Intended travel to the Western Pacific region (China, Japan, Korea, etc.) decreased dramatically during the study period. All 412 patients were followed in the electronic medical record for the period after their planned travel and only three (3) presented for COVID-19 testing. Two (2) tested positive, and both of these infections were linked to workplace exposures and not due to travel. News of the growing pandemic and travel warnings likely altered patients’ travel plans and decreased travel to the most affected regions of the world in the early months of the COVID-19 pandemic. Based on our study, travel was not a significant source of COVID-19 exposure for patients seen at this clinic.


2020 ◽  
Author(s):  
Micael Davi Lima de Oliveira ◽  
Kelson Mota Teixeira de Oliveira

According to the World Health Organisation, until 16 June, 2020, the number of confirmed and notified cases of COVID-19 has already exceeded 7.9 million with approximately 434 thousand deaths worldwide. This research aimed to find repurposing antagonists, that may inhibit the activity of the main protease (Mpro) of the SARS-CoV-2 virus, as well as partially modulate the ACE2 receptors largely found in lung cells, and reduce viral replication by inhibiting Nsp12 RNA polymerase. Docking molecular simulations were performed among a total of 60 structures, most of all, published in the literature against the novel coronavirus. The theoretical results indicated that, in comparative terms, paritaprevir, ivermectin, ledipasvir, and simeprevir, are among the most theoretical promising drugs in remission of symptoms from the disease. Furthermore, also corroborate indinavir to the high modulation in viral receptors. The second group of promising drugs includes remdesivir and azithromycin. The repurposing drugs HCQ and chloroquine were not effective in comparative terms to other drugs, as monotherapies, against SARS-CoV-2 infection.


2020 ◽  
Vol 11 (SPL1) ◽  
pp. 977-982
Author(s):  
Mohamed J. Saadh ◽  
Bashar Haj Rashid M ◽  
Roa’a Matar ◽  
Sajeda Riyad Aldibs ◽  
Hala Sbaih ◽  
...  

SARS-COV2 virus causes Coronavirus disease (COVID-19) and represents the causative agent of a potentially fatal disease that is of great global public health concern. The novel coronavirus (2019) was discovered in 2019 in Wuhan, the market of the wet animal, China with viral pneumonia cases and is life-threatening. Today, WHO announces COVID-19 outbreak as a pandemic. COVID-19 is likely to be zoonotic. It is transmitted from bats as intermediary animals to human. Also, the virus is transmitted from human to human who is in close contact with others. The computerized tomographic chest scan is usually abnormal even in those with no symptoms or mild disease. Treatment is nearly supportive; the role of antiviral agents is yet to be established. The SARS-COV2 virus spreads faster than its two ancestors, the SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV), but has lower fatality. In this article, we aimed to summarize the transmission, symptoms, pathogenesis, diagnosis, treatment, and vaccine to control the spread of this fatal disease.


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