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 …
Extracting information from textual documents in the electronic health record: a review of recent research
SM Meystre, GK Savova… - Yearbook of medical …, 2008 - thieme-connect.com
Objectives We examine recent published research on the extraction of information from
textual documents in the Electronic Health Record (EHR). Methods Literature review of the …
textual documents in the Electronic Health Record (EHR). Methods Literature review of the …
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 …
Combining billing codes, clinical notes, and medications from electronic health records provides superior phenotyping performance
Objective To evaluate the phenotyping performance of three major electronic health record
(EHR) components: International Classification of Disease (ICD) diagnosis codes, primary …
(EHR) components: International Classification of Disease (ICD) diagnosis codes, primary …
Identifying patient smoking status from medical discharge records
The authors organized a Natural Language Processing (NLP) challenge on automatically
determining the smoking status of patients from information found in their discharge records …
determining the smoking status of patients from information found in their discharge records …
Literature mining, ontologies and information visualization for drug repurposing
C Andronis, A Sharma, V Virvilis… - Briefings in …, 2011 - academic.oup.com
The immense growth of MEDLINE coupled with the realization that a vast amount of
biomedical knowledge is recorded in free-text format, has led to the appearance of a large …
biomedical knowledge is recorded in free-text format, has led to the appearance of a large …
[图书][B] Healthcare data analytics
CK Reddy, CC Aggarwal - 2015 - books.google.com
Supplying a comprehensive overview of healthcare analytics research, Healthcare Data
Analytics provides an understanding of the analytical techniques currently available to solve …
Analytics provides an understanding of the analytical techniques currently available to solve …
Database of traditional Chinese medicine and its application to studies of mechanism and to prescription validation
X Chen, H Zhou, YB Liu, JF Wang, H Li… - British journal of …, 2006 - Wiley Online Library
Background and purpose: Traditional Chinese Medicine (TCM) is widely practised and is
viewed as an attractive alternative to conventional medicine. Quantitative information about …
viewed as an attractive alternative to conventional medicine. Quantitative information about …
A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD)
Objective: The goal of this study was to develop a practical framework for recognizing and
disambiguating clinical abbreviations, thereby improving current clinical natural language …
disambiguating clinical abbreviations, thereby improving current clinical natural language …
A sense inventory for clinical abbreviations and acronyms created using clinical notes and medical dictionary resources
Objective To create a sense inventory of abbreviations and acronyms from clinical texts.
Methods The most frequently occurring abbreviations and acronyms from 352 267 dictated …
Methods The most frequently occurring abbreviations and acronyms from 352 267 dictated …