Neural natural language processing for unstructured data in electronic health records: A review
Electronic health records (EHRs), digital collections of patient healthcare events and
observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and …
observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and …
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 …
large amount of real-world data, leading to new areas for clinical research. Natural language …
Clinical natural language processing with deep learning
The emergence and proliferation of electronic health record (EHR) systems has
incrementally resulted in large volumes of clinical free text documents available across …
incrementally resulted in large volumes of clinical free text documents available across …
Deep learning in clinical natural language processing: a methodical review
Objective This article methodically reviews the literature on deep learning (DL) for natural
language processing (NLP) in the clinical domain, providing quantitative analysis to answer …
language processing (NLP) in the clinical domain, providing quantitative analysis to answer …
Gatortron: A large clinical language model to unlock patient information from unstructured electronic health records
There is an increasing interest in developing artificial intelligence (AI) systems to process
and interpret electronic health records (EHRs). Natural language processing (NLP) powered …
and interpret electronic health records (EHRs). Natural language processing (NLP) powered …
[HTML][HTML] A large language model for electronic health records
There is an increasing interest in developing artificial intelligence (AI) systems to process
and interpret electronic health records (EHRs). Natural language processing (NLP) powered …
and interpret electronic health records (EHRs). Natural language processing (NLP) powered …
Med7: A transferable clinical natural language processing model for electronic health records
Electronic health record systems are ubiquitous and the majority of patients' data are now
being collected electronically in the form of free text. Deep learning has significantly …
being collected electronically in the form of free text. Deep learning has significantly …
DR. BENCH: Diagnostic reasoning benchmark for clinical natural language processing
The meaningful use of electronic health records (EHR) continues to progress in the digital
era with clinical decision support systems augmented by artificial intelligence. A priority in …
era with clinical decision support systems augmented by artificial intelligence. A priority in …
[HTML][HTML] Capturing the patient's perspective: a review of advances in natural language processing of health-related text
G Gonzalez-Hernandez, A Sarker… - Yearbook of medical …, 2017 - thieme-connect.com
Background: Natural Language Processing (NLP) methods are increasingly being utilized to
mine knowledge from unstructured health-related texts. Recent advances in noisy text …
mine knowledge from unstructured health-related texts. Recent advances in noisy text …
Machine learning-based natural language processing algorithms and electronic health records data
EA Costea - Linguistic and Philosophical Investigations, 2020 - ceeol.com
I develop a conceptual framework based on a systematic and comprehensive literature
review on the relationship between machine learning-based natural language processing …
review on the relationship between machine learning-based natural language processing …