Situating Wikipedia as a health information resource in various contexts: A sco** review
DA Smith - PloS one, 2020 - journals.plos.org
Background Wikipedia's health content is the most frequently visited resource for health
information on the internet. While the literature provides strong evidence for its high usage, a …
information on the internet. While the literature provides strong evidence for its high usage, a …
Aspiring to unintended consequences of natural language processing: a review of recent developments in clinical and consumer-generated text processing
Objectives: This paper reviews work over the past two years in Natural Language
Processing (NLP) applied to clinical and consumer-generated texts. Methods: We included …
Processing (NLP) applied to clinical and consumer-generated texts. Methods: We included …
Evaluating neural text simplification in the medical domain
Health literacy, ie the ability to read and understand medical text, is a relevant component of
public health. Unfortunately, many medical texts are hard to grasp by the general population …
public health. Unfortunately, many medical texts are hard to grasp by the general population …
[HTML][HTML] A scalable framework to detect personal health mentions on Twitter
Background: Biomedical research has traditionally been conducted via surveys and the
analysis of medical records. However, these resources are limited in their content, such that …
analysis of medical records. However, these resources are limited in their content, such that …
A text style transfer system for reducing the physician–patient expertise gap: An analysis with automatic and human evaluations
Physicians and patients often come from different backgrounds and have varying levels of
education, which can result in communication difficulties in the healthcare process. To …
education, which can result in communication difficulties in the healthcare process. To …
[HTML][HTML] Map** layperson medical terminology into the Human Phenotype Ontology using neural machine translation models
E Manzini, J Garrido-Aguirre, J Fonollosa… - Expert Systems with …, 2022 - Elsevier
In the medical domain there exists a terminological gap between patients and caregivers
and the healthcare professionals. This gap may hinder the success of the communication …
and the healthcare professionals. This gap may hinder the success of the communication …
[HTML][HTML] Clinician perspectives and design implications in using patient-generated health data to improve mental health practices: mixed methods study
DTY Wu, C **n, S Bindhu, C Xu, J Sachdeva… - JMIR formative …, 2020 - formative.jmir.org
Background: Patient-generated health data (PGHD) have been largely collected through
mobile health (mHealth) apps and wearable devices. PGHD can be especially helpful in …
mobile health (mHealth) apps and wearable devices. PGHD can be especially helpful in …
Unsupervised clinical language translation
As patients' access to their doctors' clinical notes becomes common, translating
professional, clinical jargon to layperson-understandable language is essential to improve …
professional, clinical jargon to layperson-understandable language is essential to improve …
[HTML][HTML] Enriching consumer health vocabulary through mining a social Q&A site: A similarity-based approach
The widely known vocabulary gap between health consumers and healthcare professionals
hinders information seeking and health dialogue of consumers on end-user health …
hinders information seeking and health dialogue of consumers on end-user health …
Predicting degrees of technicality in automatic terminology extraction
A Hätty, D Schlechtweg, M Dorna… - Proceedings of the 58th …, 2020 - aclanthology.org
While automatic term extraction is a well-researched area, computational approaches to
distinguish between degrees of technicality are still understudied. We semi-automatically …
distinguish between degrees of technicality are still understudied. We semi-automatically …