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Showing 84 results for "continuing" in AI & Data Science · Peer-Reviewed
AI & Data Science Peer-Reviewed PDF DOI

Implementation of stacking based ARIMA model for prediction of Covid-19 cases in India.

Aman Swaraj, Karan Verma, Arshpreet Kaur, Ghanshyam Singh, Ashok Kumar, Leandro Melo de Sales · 2021

Time-series forecasting has a critical role during pandemics as it provides essential information that can lead to abstaining from the spread of the disease. The novel coronavirus disease, COVID-19, i…

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AI & Data Science Peer-Reviewed PDF DOI

Machine Learning Model Applied on Chest X-Ray Images Enables Automatic Detection of COVID-19 Cases with High Accuracy.

Yabsera Erdaw, Erdaw Tachbele · 2021

This research was designed to investigate the application of artificial intelligence (AI) in the rapid and accurate diagnosis of coronavirus disease 2019 (COVID-19) using digital chest X-ray images, a…

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AI & Data Science Peer-Reviewed PDF DOI

Measuring the Effectiveness of Adaptive Random Forest for Handling Concept Drift in Big Data Streams.

Abdulaziz O AlQabbany, Aqil M Azmi · 2021

We are living in the age of big data, a majority of which is stream data. The real-time processing of this data requires careful consideration from different perspectives. Concept drift is a change in…

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AI & Data Science Peer-Reviewed PDF DOI

Optimised genetic algorithm-extreme learning machine approach for automatic COVID-19 detection.

Musatafa Abbas Abbood Albadr, Sabrina Tiun, Masri Ayob, Fahad Taha Al-Dhief, Khairuddin Omar, Faizal Amri Hamzah · 2021

The coronavirus disease (COVID-19), is an ongoing global pandemic caused by severe acute respiratory syndrome. Chest Computed Tomography (CT) is an effective method for detecting lung illnesses, inclu…

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AI & Data Science Peer-Reviewed PDF DOI

Usefulness and acceptance of telephone monitoring by a virtual assistant for patients with COVID-19 following discharge.

I Garcia Bermudez, M Gonzalez Manso, E Sanchez Sanchez, A Rodriguez Hita, M Rubio Rubio, C Suarez Fernandez · 2021

COVID-19 has placed a significant burden on the healthcare system, making it necessary to implement new tools that allow patients to be monitored remotely and guarantee quality and continuity of care.…

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AI & Data Science Peer-Reviewed PDF DOI

Automatic deep learning-based pleural effusion classification in lung ultrasound images for respiratory pathology diagnosis.

Chung-Han Tsai, Jeroen van der Burgt, Damjan Vukovic, Nancy Kaur, Libertario Demi, David Canty, Andrew Wang, Alistair Royse, Colin Royse, Kavi Haji, Jason Dowling, Girija Chetty, Davide Fontanarosa · 2021

Lung ultrasound (LUS) imaging as a point-of-care diagnostic tool for lung pathologies has been proven superior to X-ray and comparable to CT, enabling earlier and more accurate diagnosis in real-time …

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AI & Data Science Peer-Reviewed PDF DOI

Predictive modeling by deep learning, virtual screening and molecular dynamics study of natural compounds against SARS-CoV-2 main protease.

Tanuja Joshi, Tushar Joshi, Hemlata Pundir, Priyanka Sharma, Shalini Mathpal, Subhash Chandra · 2021

The whole world is facing a great challenging time due to Coronavirus disease (COVID-19) caused by SARS-CoV-2. Globally, more than 14.6 M people have been diagnosed and more than 595 K deaths are repo…

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AI & Data Science Peer-Reviewed PDF DOI

Quantitative Assessment of Chest CT Patterns in COVID-19 and Bacterial Pneumonia Patients: a Deep Learning Perspective.

Myeongkyun Kang, Kyung Soo Hong, Philip Chikontwe, Miguel Luna, Jong Geol Jang, Jongsoo Park, Kyeong Cheol Shin, Sang Hyun Park, June Hong Ahn · 2021

It is difficult to distinguish subtle differences shown in computed tomography (CT) images of coronavirus disease 2019 (COVID-19) and bacterial pneumonia patients, which often leads to an inaccurate d…

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AI & Data Science Peer-Reviewed PDF DOI

Efficient COVID-19 Segmentation from CT Slices Exploiting Semantic Segmentation with Integrated Attention Mechanism.

Umit Budak, Musa Cibuk, Zafer Comert, Abdulkadir Sengur · 2021

Coronavirus (COVID-19) is a pandemic, which caused suddenly unexplained pneumonia cases and caused a devastating effect on global public health. Computerized tomography (CT) is one of the most effecti…

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AI & Data Science Peer-Reviewed PDF DOI

Classification of Lung Disease in Children by Using Lung Ultrasound Images and Deep Convolutional Neural Network.

Silvia Magrelli, Piero Valentini, Cristina De Rose, Rosa Morello, Danilo Buonsenso · 2021

Bronchiolitis is the most common cause of hospitalization of children in the first year of life and pneumonia is the leading cause of infant mortality worldwide. Lung ultrasound technology (LUS) is a …

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AI & Data Science Peer-Reviewed PDF DOI

COVID-19 Detection System Using Chest CT Images and Multiple Kernels-Extreme Learning Machine Based on Deep Neural Network.

M Turkoglu · 2021

Coronavirus disease is a fatal epidemic that has originated in Wuhan, China in December 2019. This disease is diagnosed using radiological images taken with the help of basic scanning methods besides …

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AI & Data Science Peer-Reviewed PDF DOI

Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19.

Zaid Nabulsi, Andrew Sellergren, Shahar Jamshy, Charles Lau, Edward Santos, Atilla P Kiraly, Wenxing Ye, Jie Yang, Rory Pilgrim, Sahar Kazemzadeh, Jin Yu, Sreenivasa Raju Kalidindi, Mozziyar Etemadi, Florencia Garcia-Vicente, David Melnick, Greg S Corrado, Lily Peng, Krish Eswaran, Daniel Tse, Neeral Beladia, Yun Liu, Po-Hsuan Cameron Chen, Shravya Shetty · 2021

Chest radiography (CXR) is the most widely-used thoracic clinical imaging modality and is crucial for guiding the management of cardiothoracic conditions. The detection of specific CXR findings has be…

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AI & Data Science Peer-Reviewed PDF DOI

Swedish Primary Care Physicians' Intentions to Use Telemedicine: A Survey Using a New Questionnaire - Physician Attitudes and Intentions to Use Telemedicine (PAIT).

Miriam Pikkemaat, Hans Thulesius, Veronica Milos Nymberg · 2021

Research on intentions to use telemedicine in primary care is sparse. This survey study explored primary care physicians' intentions to use telemedicine by using a newly developed questionnaire: Physi…

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AI & Data Science Peer-Reviewed PDF DOI

Detection of Hate Speech in COVID-19-Related Tweets in the Arab Region: Deep Learning and Topic Modeling Approach.

Raghad Alshalan, Hend Al-Khalifa, Duaa Alsaeed, Heyam Al-Baity, Shahad Alshalan · 2021

The massive scale of social media platforms requires an automatic solution for detecting hate speech. These automatic solutions will help reduce the need for manual analysis of content. Most previous …

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AI & Data Science Peer-Reviewed PDF DOI

Automated processing of social media content for radiologists: applied deep learning to radiological content on twitter during COVID-19 pandemic.

Shikhar Khurana, Rohan Chopra, Bharti Khurana · 2021

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 learni…

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AI & Data Science Peer-Reviewed PDF DOI

Potentially adaptive SARS-CoV-2 mutations discovered with novel spatiotemporal and explainable AI models.

Michael R Garvin, Erica T Prates, Mirko Pavicic, Piet Jones, B Kirtley Amos, Armin Geiger, Manesh B Shah, Jared Streich, Joao Gabriel Felipe Machado Gazolla, David Kainer, Ashley Cliff, Jonathon Romero, Nathan Keith, James B Brown, Daniel Jacobson · 2021

A mechanistic understanding of the spread of SARS-CoV-2 and diligent tracking of ongoing mutagenesis are of key importance to plan robust strategies for confining its transmission. Large numbers of av…

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AI & Data Science Peer-Reviewed PDF DOI

COVID-19 Discourse on Twitter in Four Asian Countries: Case Study of Risk Communication.

Sungkyu Park, Sungwon Han, Jeongwook Kim, Mir Majid Molaie, Hoang Dieu Vu, Karandeep Singh, Jiyoung Han, Wonjae Lee, Meeyoung Cha · 2021

COVID-19, caused by SARS-CoV-2, has led to a global pandemic. The World Health Organization has also declared an infodemic (ie, a plethora of information regarding COVID-19 containing both false and a…

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AI & Data Science Peer-Reviewed PDF DOI

Evaluation of deep learning-based approaches for COVID-19 classification based on chest X-ray images.

Kamal Kc, Zhendong Yin, Mingyang Wu, Zhilu Wu · 2021

The COVID-19, novel coronavirus or SARS-Cov-2, has claimed hundreds of thousands of lives and affected millions of people all around the world with the number of deaths and infections growing exponent…

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AI & Data Science Peer-Reviewed PDF DOI

ANFIS for prediction of epidemic peak and infected cases for COVID-19 in India.

Rajagopal Kumar, Fadi Al-Turjman, L N B Srinivas, M Braveen, Jothilakshmi Ramakrishnan · 2021

Corona Virus Disease 2019 (COVID-19) is a continuing extensive incident globally affecting several million people's health and sometimes leading to death. The outbreak prediction and making cautious s…

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AI & Data Science Peer-Reviewed PDF DOI

Insights Into Co-Morbidity and Other Risk Factors Related to COVID-19 Within Ontario, Canada.

Brett Snider, Bhumi Patel, Edward McBean · 2021

The worldwide rapid spread of the severe acute respiratory syndrome coronavirus 2 has affected millions of individuals and caused unprecedented medical challenges by putting healthcare services under …

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