This paper is in the following e-collection/theme issue:

Natural Language Processing (809) Data Science (309) Ethics, Privacy, and Legal Issues (553) Secondary Use of Clinical Data for Research and Surveillance (419) Electronic Health Records (1198)

Published on in Vol 11 (2023)

This is a member publication of University College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45534, first published .
Understanding Views Around the Creation of a Consented, Donated Databank of Clinical Free Text to Develop and Train Natural Language Processing Models for Research: Focus Group Interviews With Stakeholders

Understanding Views Around the Creation of a Consented, Donated Databank of Clinical Free Text to Develop and Train Natural Language Processing Models for Research: Focus Group Interviews With Stakeholders

Understanding Views Around the Creation of a Consented, Donated Databank of Clinical Free Text to Develop and Train Natural Language Processing Models for Research: Focus Group Interviews With Stakeholders

Authors of this article:

Natalie K Fitzpatrick1 Author Orcid Image ;   Richard Dobson2 Author Orcid Image ;   Angus Roberts2 Author Orcid Image ;   Kerina Jones3 Author Orcid Image ;   Anoop D Shah1, 4 Author Orcid Image ;   Goran Nenadic5 Author Orcid Image ;   Elizabeth Ford6 Author Orcid Image
Article Authors Cited by (1) Tweetations (7) Metrics

Journals

  1. Ford E, Pillinger S, Stewart R, Jones K, Roberts A, Casey A, Goddard K, Nenadic G. What is the patient re-identification risk from using de-identified clinical free text data for health research?. AI and Ethics 2025 View