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Thyroid Ultrasound Appropriateness Identification Through Natural Language Processing of Electronic Health Records

Cristian Soto Jacome, MD, Danny Segura Torres, MD, Jungwei W. Fan, PhD, Ricardo Loor-Torres, MD et al. • Mayo Clinic Proceedings: Digital Health (2024)

Objective: To address thyroid cancer overdiagnosis, we aim to develop a natural language processing (NLP) algorithm to determine the appropriateness of thyroid ultrasounds (TUS). Patients and Methods: Between 2017 and 2021, we identified 18...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.mcpdig.2024.01.001

Natural Language Processing for EHR-Based Computational Phenotyping

Zexian Zeng, Yu Deng, Xiaoyu Li, Tristan Naumann et al. • IEEE Transactions on Computational Biology and Bioinformatics (2018)

This article reviews recent advances in applying natural language processing (NLP) to Electronic Health Records (EHRs) for computational phenotyping. NLP-based computational phenotyping has numerous applications including diagnosis categori...

OPENALEX Open Access DOI: https://doi.org/10.1109/tcbb.2018.2849968 PMC: 6388621

Deep Learning in Natural Language Processing

Jacob Russell Neterer, Osman Guzide • Proceedings of the West Virginia Academy of Science (2018)

The recent leap in the development of deep learning has opened the door to more advanced assistance in natural language processing. In this paper, a rough outline of how the process of deep learning functions, how it relates to natural lang...

OPENALEX cc-by-nc DOI: https://doi.org/10.55632/pwvas.v90i1.339

Natural language processing

Angel R. Martinez • Wiley Interdisciplinary Reviews Computational Statistics (2010)

Abstract Approximately 40 years ago, the goal of endowing computers with the capacity to understand natural language began. These efforts were originally callednatural language understanding, which is now more frequently callednatural langu...

OPENALEX DOI: https://doi.org/10.1002/wics.76

A Review of Natural Language Processing in Medical Education

Michael A. Chary, Saumil Parikh, Alex F. Manini, Edward W. Boyer et al. • Western Journal of Emergency Medicine (2018)

Natural language processing (NLP) aims to program machines to interpret human language as humans do. It could quantify aspects of medical education that were previously amenable only to qualitative methods. The application of NLP to medical...

OPENALEX cc-by DOI: https://doi.org/10.5811/westjem.2018.11.39725 PMC: 6324711

Natural Language Processing

Julia Hirschberg, Bruce W. Ballard, Donald M. Hindle • AT&T Technical Journal (1988)

Researchers in natural language processing (NLP) apply computational techniques to the understanding and generation of human language. Currently, we are focusing on the development of grammatical formalisms and parsing algorithms, appropria...

OPENALEX DOI: https://doi.org/10.1002/j.1538-7305.1988.tb00232.x

The Stanford CoreNLP Natural Language Processing Toolkit

Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Rose Finkel et al. • Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL Demo) (2014)

Christopher Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven Bethard, David McClosky. Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations. 2014....

OPENALEX cc-by DOI: https://doi.org/10.3115/v1/p14-5010

State of Art for Semantic Analysis of Natural Language Processing

Dastan Hussen Maulud, Subhi R. M. Zeebaree, Karwan Jacksi, Mohammed Mohammed Sadeeq et al. • Qubahan Academic Journal (2021)

Semantic analysis is an essential feature of the NLP approach. It indicates, in the appropriate format, the context of a sentence or paragraph. Semantics is about language significance study. The vocabulary used conveys the importance of th...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.48161/qaj.v1n2a40

Natural Language Processing

Stuti Patel • International Journal of Science and Research (IJSR) (2023)

Natural language processing is widely discussed and researched topic nowadays.As it is one of the oldest areas of research in machine leaning it is used in major fields such as machine translation speech recognition and text processing.Natu...

OPENALEX cc-by DOI: https://doi.org/10.21275/sr23216193027

Natural Language Processing

Oi Yee Kwong • Routledge eBooks (2023)

The primary concern of natural language processing is the design and implementation of computational systems for analysing and understanding human languages to automate certain real-life tasks demanding human language abilities. It is typic...

OPENALEX DOI: https://doi.org/10.4324/9781003168348-41

Natural Language Processing of Social Media as Screening for Suicide Risk

Glen Coppersmith, Ryan Leary, Patrick Crutchley, Alex B. Fine • Biomedical Informatics Insights (2018)

Suicide is among the 10 most common causes of death, as assessed by the World Health Organization. For every death by suicide, an estimated 138 people's lives are meaningfully affected, and almost any other statistic around suicide deaths i...

OPENALEX cc-by-nc DOI: https://doi.org/10.1177/1178222618792860 PMC: 6111391

NeuroBlu, an electronic health record (EHR) trusted research environment (TRE) to support mental healthcare analytics with real-world data

Rashmi Patel, Miguel E Rentería, Soon Nan Wee, Rajagopalan Ramaswamy et al. • BMJ Open (2022)

Purpose NeuroBlu is a real-world data (RWD) repository that contains deidentified electronic health record (EHR) data from US mental healthcare providers operating the MindLinc EHR system. NeuroBlu enables users to perform statistical analy...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjopen-2021-057227

Empowering text classification with NLP and explainable AI for enhanced interpretability

Sumaya Mustafa, Mariwan Hama Saeed • Journal of Electrical Systems and Information Technology (2025)

Abstract Artificial intelligence (AI) models have demonstrated significant success in classifying various types of text. However, the complex nature of these models often complicates the interpretability of their classifications. To address...

DOAJ Open Access (DOAJ) DOI: 10.1186/s43067-025-00273-2