[图书][B] Clinical text mining: Secondary use of electronic patient records

H Dalianis - 2018 - library.oapen.org
Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …

[PDF][PDF] Text mining in healthcare. Applications and opportunities

U Raja, T Mitchell, T Day, JM Hardin - J Healthc Inf Manag, 2008 - researchgate.net
Electronic clinical records contain information on all aspects of health care. Healthcare
information systems that collect large amounts of textual and numeric information about …

Modern clinical text mining: a guide and review

B Percha - Annual review of biomedical data science, 2021 - annualreviews.org
Electronic health records (EHRs) are becoming a vital source of data for healthcare quality
improvement, research, and operations. However, much of the most valuable information …

An advanced review on text mining in medicine

C Luque, JM Luna, M Luque… - … Reviews: Data Mining …, 2019 - Wiley Online Library
Health care professionals produce abundant textual information in their daily clinical
practice and this information is stored in many diverse sources and, generally, in textual …

Data processing and text mining technologies on electronic medical records: a review

W Sun, Z Cai, Y Li, F Liu, S Fang… - Journal of healthcare …, 2018 - Wiley Online Library
Currently, medical institutes generally use EMR to record patient's condition, including
diagnostic information, procedures performed, and treatment results. EMR has been …

Biomedical text mining: a survey of recent progress

MS Simpson, D Demner-Fushman - Mining text data, 2012 - Springer
The biomedical community makes extensive use of text mining technology. In the past
several years, enormous progress has been made in developing tools and methods, and the …

A survey of current work in biomedical text mining

AM Cohen, WR Hersh - Briefings in bioinformatics, 2005 - academic.oup.com
The volume of published biomedical research, and therefore the underlying biomedical
knowledge base, is expanding at an increasing rate. Among the tools that can aid …

Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010

B De Bruijn, C Cherry, S Kiritchenko… - Journal of the …, 2011 - academic.oup.com
Objective As clinical text mining continues to mature, its potential as an enabling technology
for innovations in patient care and clinical research is becoming a reality. A critical part of …

Status of text-mining techniques applied to biomedical text

RAA Erhardt, R Schneider, C Blaschke - Drug discovery today, 2006 - Elsevier
Scientific progress is increasingly based on knowledge and information. Knowledge is now
recognized as the driver of productivity and economic growth, leading to a new focus on the …

Text Mining for Precision Medicine: Bringing Structure to EHRs and Biomedical Literature to Understand Genes and Health

M Simmons, A Singhal, Z Lu - Translational Biomedical Informatics: A …, 2016 - Springer
The key question of precision medicine is whether it is possible to find clinically actionable
granularity in diagnosing disease and classifying patient risk. The advent of next-generation …