[HTML][HTML] Using clinical natural language processing for health outcomes research: overview and actionable suggestions for future advances

S Velupillai, H Suominen, M Liakata, A Roberts… - Journal of biomedical …, 2018 - Elsevier
The importance of incorporating Natural Language Processing (NLP) methods in clinical
informatics research has been increasingly recognized over the past years, and has led to …

[HTML][HTML] Medical information extraction in the age of deep learning

U Hahn, M Oleynik - Yearbook of medical informatics, 2020 - thieme-connect.com
Objectives: We survey recent developments in medical Information Extraction (IE) as
reported in the literature from the past three years. Our focus is on the fundamental …

[HTML][HTML] MIMIC-III, a freely accessible critical care database

AEW Johnson, TJ Pollard, L Shen, LH Lehman, M Feng… - Scientific data, 2016 - nature.com
Abstract MIMIC-III ('Medical Information Mart for Intensive Care') is a large, single-center
database comprising information relating to patients admitted to critical care units at a large …

[HTML][HTML] Sentence representation method based on multi-layer semantic network

W Zheng, X Liu, L Yin - Applied sciences, 2021 - mdpi.com
With the development of artificial intelligence, more and more people hope that computers
can understand human language through natural language technology, learn to think like …

[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 …

[HTML][HTML] A clinician friendly data warehouse oriented toward narrative reports: Dr. Warehouse

N Garcelon, A Neuraz, R Salomon, H Faour… - Journal of biomedical …, 2018 - Elsevier
Introduction Clinical data warehouses are often oriented toward integration and exploration
of coded data. However narrative reports are of crucial importance for translational research …

[HTML][HTML] Assessing the performance of clinical natural language processing systems: development of an evaluation methodology

L Canales, S Menke, S Marchesseau… - JMIR Medical …, 2021 - medinform.jmir.org
Background: Clinical natural language processing (cNLP) systems are of crucial importance
due to their increasing capability in extracting clinically important information from free text …

[PDF][PDF] Data descriptor: MIMIC-III, a freely accessible critical care database

AEW Johnson, TJ Pollard, L Shen, LH Lehman, M Feng… - Scientific data, 2016 - core.ac.uk
Methods The Laboratory for Computational Physiology at Massachusetts Institute of
Technology is an interdisciplinary team of data scientists and practicing physicians. MIMIC-III …

Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 …

A Sarker, M Belousov, J Friedrichs… - Journal of the …, 2018 - academic.oup.com
Abstract Objective We executed the Social Media Mining for Health (SMM4H) 2017 shared
tasks to enable the community-driven development and large-scale evaluation of automatic …

The potential of alternatives to face-to-face consultation in general practice, and the impact on different patient groups: a mixed-methods case study

H Atherton, H Brant, S Ziebland, A Bikker… - Health Services and …, 2018 - ora.ox.ac.uk
Background There is international interest in the potential role of different forms of
communication technology to provide an alternative to face-to-face consultations in health …