Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
projects
Bursty Dynamics: Open-Source Temporal Pattern Analysis Package (Python)
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bursty_dynamics is a Python package designed to facilitate the analysis of temporal patterns in longitudinal data. It provides functions to calculate the burstiness parameter (BP) and memory coefficient (MC), detect event trains, and visualise results.
🩺 Diabetes Risk Prediction App
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safefeat: Leakage-Safe Feature Engineering for Event Logs (Python)
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A Python package for point-in-time, leakage-safe feature engineering from event data.
DataBrief: AI-Powered Local Data Reports
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A privacy-first desktop app that analyses CSV files and generates plain English or technical reports using a local AI model — no cloud, no data exposure.
publications
Ethnic differences in early onset multimorbidity and associations with health service use, long-term prescribing, years of life lost, and mortality: A cross-sectional study using clustering in the UK Clinical Practice Research Datalink
Published in , 2023
Recommended citation: Eto F, Samuel M, Henkin R, Mahesh M, Ahmad T, Angdembe A, et al. (2023) Ethnic differences in early onset multimorbidity and associations with health service use, long-term prescribing, years of life lost, and mortality: A cross-sectional study using clustering in the UK Clinical Practice Research Datalink. PLoS Med 20(10): e1004300. https://doi.org/10.1371/journal.pmed.1004300
Open Paper
bursty_dynamics: A Python Package for Exploring the Temporal Properties of Longitudinal Data
Published in , 2024
Recommended citation: Angdembe, A., Iqbal, W. A., Hamad, R. A., Casement, J., AI-Multiply Consortium, Missier, P., Reynolds, N., Henkin, R., & Barnes, M. R. (2024). bursty_dynamics: A Python package for exploring the temporal properties of longitudinal data. arXiv. https://arxiv.org/abs/2411.03210
Open Paper
Submitted for publication
Published in , 2026
Recommended citation: (2025)
Preparation for publication
Published in , 2026
Recommended citation: (2025)
talks
Demonstrator at the AI-UK 2024 conference.
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I represented the AI for Multiple Long-Term Conditions research programme at AI-UK 2024. I engaged with attendees at our stand, discussing the project and its goals, and shared insights about how AI is being applied to improve the understanding and management of multiple long-term health conditions.
Panel speaker at the Pioneering AI in MLTC Conference.
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Topic: Building Trust for Meaningful Engagement.
Problem-Based Learning (PBL) tutor
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Problem-Based Learning (PBL) Facilitator for first-year medical students at Barts and The London School of Medicine and Dentistry (9-week programme).
Speaker at the AI-MULTIPLY conference
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Presented research on modelling patient journeys using temporal and bursty event dynamics at an AI-Multiply public engagement event, highlighting how temporal patterns in patient records can provide insights into disease progression and outcomes, and discussing real-world implications with a multidisciplinary audience.