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Ascle—A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study.
Yang, Rui ; Zeng, Qingcheng ; You, Keen ; et al.
Journal of Medical Internet Research. 2024, Vol. 26, p1-14. 14p.
Development of a Natural Language Processing Model for Extracting Kidney Biopsy Pathology Diagnoses
Bobart, Shane A. ; Hsu, Enshuo ; Potter, Thomas ; et al.
In Kidney Medicine August 2025 7(8)
An application of natural language processing for hypoglycemic event identification in patients with diabetes mellitus
Camacho-Cogollo, J.E. ; Patiño Zambrano, Cristhian Felipe ; Lochmuller, Christian ; et al.
In Healthcare Analytics June 2025 7
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Research on Text Mining of Syndrome Element Syndrome Differentiation by Natural Language Processing
Wen-Xiang, Deng ; Jian-Ping, Zhu ; Jing, Li ; et al.
In Digital Chinese Medicine June 2019 2(2):61-71
A Natural Language Processing System using CWS Pipeline for Extraction of Linguistic Features
Kumar, Sandeep ; Solanki, Arun
In Procedia Computer Science 2023 218:1768-1777
Machine-interactive decision-assistance using a pre-trained natural language processing model for 4D printing technique selection
Abhishek, Chandramohan ; Raghukiran, Nadimpalli
In Machine Learning with Applications
An accessible, efficient, and accurate natural language processing method for extracting diagnostic data from pathology reports
Lam, Hansen ; Nguyen, Freddy ; Wang, Xintong ; et al.
In Journal of Pathology Informatics 2022 13
Using natural language processing to evaluate temporal patterns in suicide risk variation among high-risk Veterans
Levis, Maxwell ; Levy, Joshua ; Dimambro, Monica ; et al.
In Psychiatry Research September 2024 339
Die Analyse des CIRSmedical.de mittels Natural Language Processing
Tetzlaff, Laura ; Heinrich, Andrea Sanguino ; Schadewitz, Romy ; et al.
In Zeitschrift fuer Evidenz, Fortbildung und Qualitaet im Gesundheitswesen April 2022 169:1-11
Natural Language Processing with Python, Analyzing Text with the Natural Language Toolkit Steven Bird Ewan Klein Edward Loper
Wagner, Wiebke
Language Resources and Evaluation, 2010 Oct 01. 44(4), 421-424.
The Transformers’ Ability to Implement for Solving Intricacies of Language Processing
Singh, Paras Nath ; Behera, Sagarika
2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Innovation in Technology (ASIANCON), 2022 2nd Asian Conference on. :1-7 Aug, 2022
Mastering natural language processing with Python
Packt Publishing, production company.
Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs population
Li, Siting ; Levis, Maxwell ; DiMambro, Monica ; et al.
In Computers in Biology and Medicine May 2025 189
Using natural language processing to identify opioid use disorder in electronic health record data
Singleton, Jade ; Li, Chengxi ; Akpunonu, Peter D. ; et al.
In International Journal of Medical Informatics February 2023 170
SinaTools: Open Source Toolkit for Arabic Natural Language Processing
Hammouda, Tymaa ; Jarrar, Mustafa ; Khalilia, Mohammed
In Procedia Computer Science 2024 244:388-396
Automated retrieval and analysis of published biomedical literature through natural language processing for clinical applications
Campbell, Jamie ; Simpson, Ian ; Macleod, Malcolm
Helicopter parenting through the lens of reddit: A text mining study
Keerthigha, C. ; Singh, Smita ; Chan, Kai Qin ; et al.
In Heliyon October 2023 9(10)
pyResearchInsights—An open‐source Python package for scientific text analysis.
Shetty, Sarthak J. ; Ramesh, Vijay
Ecology & Evolution (20457758). Oct2021, Vol. 11 Issue 20, p13920-13929. 10p.
Steven Bird, Ewan Klein and Edward Loper: Natural Language Processing with Python, Analyzing Text with the Natural Language Toolkit
Wagner, W.
LANGUAGE RESOURCES AND EVALUATION. 44(4):421-424
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