Imaging Informatics for Healthcare Professionals

, pages 87-99

Natural Language Processing

Salvatore Claudio Fanni ¹

Maria Febi ¹

Gayane Aghakhanyan ¹

Emanuele Neri ¹

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Academic Radiology, Department of Translational Research, University of Pisa, Pisa, Italy |

Publication type: Book Chapter

Publication date: 2023-09-15

Springer Nature

Imaging Informatics for Healthcare Professionals

SJR: —

CiteScore: —

Impact factor: —

ISSN: 26621541, 2662155X

DOI: 10.1007/978-3-031-25928-9_5

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Abstract

Natural language processing (NLP) stands halfway between computer science computational linguistics, and it is dedicated to the conversion of written and spoken natural human languages into structured mineable data. Through the combination of linguistic, statistical and AI methods NLP can be used either to determine the meaning of a text or even to produce a human-like response. NLP is already part of our everyday life as it is widely implemented in our computer software or in our mobile phones. As hospitals produce a large amount of written free-text data, NLP may play an important role to develop tool for clinical decision support, evidence-based medicine, or even research. Indeed, NLP application in the field of medical informatics has received an increasing attention in the recent years. Undoubtedly, radiology is particularly suited to benefit from applications of NLP, given that the primary mode of inter-physician and physician-to-patient communication is by way of the written radiology report.

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Kumar Anjanee

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Fanni S. C. et al. Natural Language Processing // Imaging Informatics for Healthcare Professionals. 2023. pp. 87-99.

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Fanni S. C., Febi M., Aghakhanyan G., Neri E. Natural Language Processing // Imaging Informatics for Healthcare Professionals. 2023. pp. 87-99.

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RIS Copy

TY - GENERIC

DO - 10.1007/978-3-031-25928-9_5

UR - https://doi.org/10.1007/978-3-031-25928-9_5

TI - Natural Language Processing

T2 - Imaging Informatics for Healthcare Professionals

AU - Fanni, Salvatore Claudio

AU - Febi, Maria

AU - Aghakhanyan, Gayane

AU - Neri, Emanuele

PY - 2023

DA - 2023/09/15

PB - Springer Nature

SP - 87-99

SN - 2662-1541

SN - 2662-155X

ER -

BibTex

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@incollection{2023_Fanni,

author = {Salvatore Claudio Fanni and Maria Febi and Gayane Aghakhanyan and Emanuele Neri},

title = {Natural Language Processing},

publisher = {Springer Nature},

year = {2023},

pages = {87--99},

month = {sep}

}

Publisher

Springer Nature

Journal

Imaging Informatics for Healthcare Professionals

SJR

—

CiteScore

—

Impact factor

—

ISSN

26621541 (Print)

2662155X (Electronic)

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