Add to ORKGThis work was supported by the NLP4RARE-CM-UC3M, which was developed under the Interdisciplinary Projects Program for Young Researchers at University Carlos III of Madrid. The work was also supported by the Multiannual Agreement with UC3M in the line of Excellence of University Professors (EPUC3M17), and in the context of the V PRICIT (Regional Programme of Research and Technological Innovation)
Background Natural language processing (NLP) has a significant role in advancing healthcare and has ...
International audienceBackground:Natural Language Processing (NLP) has been shown effective to analy...
Study Design: Retrospective study.Objectives: Huge amounts of images and medical reports are being g...
This work was supported by the NLP4RARE-CM-UC3M, which was developed under the Interdisciplinary Pro...
Thesis (Ph.D.)--University of Washington, 2021For more than a decade, electronic health records (EHR...
Since radiology reports needed for clinical practice and research are written and stored in free-tex...
BACKGROUND: Natural language processing (NLP) has a significant role in advancing healthcare and has...
Natural Language Processing (NLP) Algorithms are the key factors for automatic information extractio...
In radiology, natural language processing (NLP) allows the extraction of valuable information from r...
Radiological reporting has generated large quantities of digital content within the electronic healt...
Since radiology reports needed for clinical practice and research are written and stored in free-tex...
Este trabalho promove um estudo em informática em saúde no qual se analisam laudos de radiologia tor...
Text Mining is the discovery by computer of new, earlier anonymous information by automatically extr...
OBJECTIVES: To compare different Machine Learning (ML) Natural Language Processing (NLP) methods to ...
Background Natural language processing (NLP) has a significant role in advancing healthcare and has ...
International audienceBackground:Natural Language Processing (NLP) has been shown effective to analy...
Study Design: Retrospective study.Objectives: Huge amounts of images and medical reports are being g...
This work was supported by the NLP4RARE-CM-UC3M, which was developed under the Interdisciplinary Pro...
Thesis (Ph.D.)--University of Washington, 2021For more than a decade, electronic health records (EHR...
Since radiology reports needed for clinical practice and research are written and stored in free-tex...
BACKGROUND: Natural language processing (NLP) has a significant role in advancing healthcare and has...
Natural Language Processing (NLP) Algorithms are the key factors for automatic information extractio...
In radiology, natural language processing (NLP) allows the extraction of valuable information from r...
Radiological reporting has generated large quantities of digital content within the electronic healt...
Since radiology reports needed for clinical practice and research are written and stored in free-tex...
Este trabalho promove um estudo em informática em saúde no qual se analisam laudos de radiologia tor...
Text Mining is the discovery by computer of new, earlier anonymous information by automatically extr...
OBJECTIVES: To compare different Machine Learning (ML) Natural Language Processing (NLP) methods to ...
Background Natural language processing (NLP) has a significant role in advancing healthcare and has ...
International audienceBackground:Natural Language Processing (NLP) has been shown effective to analy...
Study Design: Retrospective study.Objectives: Huge amounts of images and medical reports are being g...