A systematic review of natural language processing for knowledge management in healthcare

GP Basyal, BP Rimal, D Zeng - arXiv preprint arXiv:2007.09134, 2020 - arxiv.org
Driven by the visions of Data Science, recent years have seen a paradigm shift in Natural
Language Processing (NLP). NLP has set the milestone in text processing and proved to be …

Natural language processing for smart healthcare

B Zhou, G Yang, Z Shi, S Ma - IEEE Reviews in Biomedical …, 2022 - ieeexplore.ieee.org
Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …

A joint introduction to natural language processing and to deep learning

L Deng, Y Liu - Deep learning in natural language processing, 2018 - Springer
In this chapter, we set up the fundamental framework for the book. We first provide an
introduction to the basics of natural language processing (NLP) as an integral part of …

Machine learning techniques for biomedical natural language processing: a comprehensive review

EH Houssein, RE Mohamed, AA Ali - IEEE Access, 2021 - ieeexplore.ieee.org
The widespread use of electronic health records (EHR) systems in health care provides a
large amount of real-world data, leading to new areas for clinical research. Natural language …

Knowledge sources for Natural Language Processing.

RH Baud, AM Rassinoux, C Lovis… - Proceedings of the …, 1996 - ncbi.nlm.nih.gov
This paper aims at reviewing the problem of feeding Natural Language Processing (NLP)
tools with convenient linguistic knowledge in the medical domain. A syntactic approach …

Nlp-kg: A system for exploratory search of scientific literature in natural language processing

T Schopf, F Matthes - arXiv preprint arXiv:2406.15294, 2024 - arxiv.org
Scientific literature searches are often exploratory, whereby users are not yet familiar with a
particular field or concept but are interested in learning more about it. However, existing …

[图书][B] The Natural Language Processing Workshop: Confidently design and build your own NLP projects with this easy-to-understand practical guide

R Chopra, AM Godbole, N Sadvilkar, MB Shah… - 2020 - books.google.com
Make NLP easy by building chatbots and models, and executing various NLP tasks to gain
data-driven insights from raw text data Key FeaturesGet familiar with key natural language …

Automated detection of adverse drug reactions in the biomedical literature using convolutional neural networks and biomedical word embeddings

DS Miranda - arXiv preprint arXiv:1804.09148, 2018 - arxiv.org
Monitoring the biomedical literature for cases of Adverse Drug Reactions (ADRs) is a
critically important and time consuming task in pharmacovigilance. The development of …

[HTML][HTML] Expanding the diversity of texts and applications: findings from the section on clinical natural language processing of the international medical informatics …

A Névéol, P Zweigenbaum - Yearbook of medical informatics, 2018 - thieme-connect.com
Objectives: To summarize recent research and present a selection of the best papers
published in 2017 in the field of clinical Natural Language Processing (NLP). Methods: A …

[图书][B] Mastering natural language processing with python

D Chopra, N Joshi, I Mathur - 2016 - dl.acm.org
Maximize your NLP capabilities while creating amazing NLP projects in Python About This
BookLearn to implement various NLP tasks in PythonGain insights into the current and …