A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Data

M Loni, F Poursalim, M Asadi… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper presents the results of a novel scoping review on the practical models for
generating three different types of synthetic health records (SHRs): medical text, time series …

[HTML][HTML] Near Real-Time Syndromic Surveillance of Emergency Department Triage Texts Using Natural Language Processing: Case Study in Febrile Convulsion …

S Khademi, C Palmer, M Javed, GL Dimaguila… - JMIR AI, 2024 - ai.jmir.org
Background: Collecting information on adverse events following immunization from as many
sources as possible is critical for promptly identifying potential safety concerns and taking …

Detecting Asthma Presentations from Emergency Department Notes: An Active Learning Approach

S Khademi, C Palmer, M Javed, GL Dimaguila… - … Conference on Data …, 2023 - Springer
Emergency department (ED) triage notes contain valuable information for near real-time
syndromic surveillance of emergent public health events. With the increasing use of …