[HTML][HTML] Clinical data reuse or secondary use: current status and potential future progress

SM Meystre, C Lovis, T Bürkle… - Yearbook of medical …, 2017 - thieme-connect.com
Objective: To perform a review of recent research in clinical data reuse or secondary use,
and envision future advances in this field. Methods: The review is based on a large literature …

Patient privacy in the era of big data

M Kayaalp - Balkan medical journal, 2018 - dergipark.org.tr
Privacy was defined as a fundamental human right in the Universal Declaration of Human
Rights at the 1948 United Nations General Assembly. However, there is still no consensus …

The secret revealer: Generative model-inversion attacks against deep neural networks

Y Zhang, R Jia, H Pei, W Wang… - Proceedings of the …, 2020 - openaccess.thecvf.com
This paper studies model-inversion attacks, in which the access to a model is abused to infer
information about the training data. Since its first introduction by [??], such attacks have …

Medalign: A clinician-generated dataset for instruction following with electronic medical records

SL Fleming, A Lozano, WJ Haberkorn… - Proceedings of the …, 2024 - ojs.aaai.org
The ability of large language models (LLMs) to follow natural language instructions with
human-level fluency suggests many opportunities in healthcare to reduce administrative …

[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] Secondary use of clinical data: the Vanderbilt approach

I Danciu, JD Cowan, M Basford, X Wang, A Saip… - Journal of biomedical …, 2014 - Elsevier
The last decade has seen an exponential growth in the quantity of clinical data collected
nationwide, triggering an increase in opportunities to reuse the data for biomedical research …

Impact of different mammography systems on artificial intelligence performance in breast cancer screening

CF de Vries, SJ Colosimo, RT Staff… - Radiology: Artificial …, 2023 - pubs.rsna.org
Artificial intelligence (AI) tools may assist breast screening mammography programs, but
limited evidence supports their generalizability to new settings. This retrospective study used …

[HTML][HTML] De-identification of psychiatric intake records: Overview of 2016 CEGS N-GRID shared tasks Track 1

A Stubbs, M Filannino, Ö Uzuner - Journal of biomedical informatics, 2017 - Elsevier
Abstract The 2016 CEGS N-GRID shared tasks for clinical records contained three tracks.
Track 1 focused on de-identification of a new corpus of 1000 psychiatric intake records. This …

Man vs the machine in the struggle for effective text anonymisation in the age of large language models

C Patsakis, N Lykousas - Scientific Reports, 2023 - nature.com
The collection and use of personal data are becoming more common in today's data-driven
culture. While there are many advantages to this, including better decision-making and …

The Stanford Medicine data science ecosystem for clinical and translational research

A Callahan, E Ashley, S Datta, P Desai, TA Ferris… - JAMIA …, 2023 - academic.oup.com
Objective To describe the infrastructure, tools, and services developed at Stanford Medicine
to maintain its data science ecosystem and research patient data repository for clinical and …