[HTML][HTML] Detecting clinically related content in online patient posts

C VanDam, S Kanthawala, W Pratt, J Chai… - Journal of biomedical …, 2017 - Elsevier
Patients with chronic health conditions use online health communities to seek support and
information to help manage their condition. For clinically related topics, patients can benefit …

Multi-label classification for clinical text with feature-level attention

D Pan, X Zheng, W Liu, M Li, M Ma… - 2020 IEEE 6th Intl …, 2020 - ieeexplore.ieee.org
Multi-label text classification, which tags a given plain text with the most relevant labels from
a label space, is an important task in the natural language process. To diagnose diseases …

Unstructured medical text classification using linguistic analysis: A supervised deep learning approach

A Al-Doulat, I Obaidat, M Lee - 2019 IEEE/ACS 16th …, 2019 - ieeexplore.ieee.org
A vast amount of unstructured text that contains valuable information is available over the
web. This text is changing and proliferating, making it hard for people to process, read, and …

E-patient reputation in health forums

A Abdaoui, J Azé, S Bringay… - MEDINFO 2015: eHealth …, 2015 - ebooks.iospress.nl
Online health forums are increasingly used by patients to get information and help related to
their health. However, information reliability in these forums is unfortunately not always …

[PDF][PDF] cherche, IRSTEA

M Teisseire, DDR Associée - Association Française pour l'Intelligence …, 2014 - afia.asso.fr
Les organisations produisent de plus en plus de données. Elles ont besoin de prendre les
meilleures décisions, le plus rapidement possible, en se fondant sur ces données. Dans ce …

Fouille de forums de discussion en santé: Identification des caractéristiques des contributeurs

T Hamon, C Pertin, C Deccache… - Revue des Sciences et …, 2018 - search.proquest.com
Les forums de discussion en santé sont des sources précieuses pour l'éducation
thérapeutique. Il est ainsi possible d'étudier le comportement des contributeurs mais aussi …