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[HTML][HTML] Comprehensive survey of machine learning systems for COVID-19 detection
The last two years are considered the most crucial and critical period of the COVID-19
pandemic affecting most life aspects worldwide. This virus spreads quickly within a short …
pandemic affecting most life aspects worldwide. This virus spreads quickly within a short …
Computer-aided methods for combating Covid-19 in prevention, detection, and service provision approaches
The infectious disease Covid-19 has been causing severe social, economic, and human
suffering across the globe since 2019. The countries have utilized different strategies in the …
suffering across the globe since 2019. The countries have utilized different strategies in the …
[HTML][HTML] Machine learning based natural language processing of radiology reports in orthopaedic trauma
AW Olthof, P Shouche, EM Fennema, FFA IJpma… - Computer methods and …, 2021 - Elsevier
Abstract Objectives To compare different Machine Learning (ML) Natural Language
Processing (NLP) methods to classify radiology reports in orthopaedic trauma for the …
Processing (NLP) methods to classify radiology reports in orthopaedic trauma for the …
[HTML][HTML] Machine understanding surgical actions from intervention procedure textbooks
The automatic extraction of procedural surgical knowledge from surgery manuals, academic
papers or other high-quality textual resources, is of the utmost importance to develop …
papers or other high-quality textual resources, is of the utmost importance to develop …
Artificial intelligence-based prediction of Covid-19 severity on the results of protein profiling
Background COVID-19 progresses slowly and negatively affects many people. However,
mild to moderate symptoms develop in most infected people, who recover without …
mild to moderate symptoms develop in most infected people, who recover without …
[HTML][HTML] Cares: a corpus for classification of Spanish radiological reports
This paper presents a new corpus of radiology medical reports written in Spanish and
labeled with ICD-10. CARES (Corpus of Anonymised Radiological Evidences in Spanish) is …
labeled with ICD-10. CARES (Corpus of Anonymised Radiological Evidences in Spanish) is …
Information extraction and named entity recognition supported social media sentiment analysis during the COVID-19 pandemic
Social media platforms are increasingly being used to communicate information, something
which has only intensified during the pandemic. News portals and governments are also …
which has only intensified during the pandemic. News portals and governments are also …
A morphology-based radiological image segmentation approach for efficient screening of COVID-19
Computer-aided radiological image interpretation systems can be helpful to reshape the
overall workflow of the COVID-19 diagnosis process. This article describes an unsupervised …
overall workflow of the COVID-19 diagnosis process. This article describes an unsupervised …
Improved fine-tuning of in-domain transformer model for inferring COVID-19 presence in multi-institutional radiology reports
Building a document-level classifier for COVID-19 on radiology reports could help assist
providers in their daily clinical routine, as well as create large numbers of labels for …
providers in their daily clinical routine, as well as create large numbers of labels for …
Automatic TNM staging of colorectal cancer radiology reports using pre-trained language models
Abstract Background and Objective: Colorectal cancer is one of the major causes of cancer
death worldwide. Essential for prognosis and treatment planning, TNM staging offers critical …
death worldwide. Essential for prognosis and treatment planning, TNM staging offers critical …