Health Intervention Analytics (HIA) lab
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Reinforcement-learning-agents-in-N-of-1-trials
Reinforcement-learning-agents-in-N-of-1-trials PublicThis is the code for the design, evaluation and implementation of contextual bandits to learn optimal physical exercises regimes that decrease pain in endometriosis patients.
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adaptive_nof1
adaptive_nof1 PublicFramework for design and evaluation of Bandit algorithms with underlying Bayesian models
Repositories
- multimodal_nof1_unsupervised Public
Repository for unsupervised analysis of mutimodal outcomes in N-of-1 trials.
- memaef_prediction Public
- adaptive_nof1 Public
Framework for design and evaluation of Bandit algorithms with underlying Bayesian models
- Nof1-OLP Public
R code for the Bayesian models used to obtain the main results from the series of N-of-1 trials on OLP, from the manuscript "Open-Label Placebos for Antidepressant Discontinuation Symptoms: A Series of N-of-1 Trials" of Müller et al. (2025).
- studyme Public
StudyMe lets you create and run your own experiments to systematically try different things and find out what improves your individual health and well-being.
- ASIP Public
R Code and anonymised data of the ASIP (Anti-Stress Intervention Among Physicians) study
- jitai4tinnitus Public
Repository for HPI Hackathon in March 2025, with the aim to build a JITAI for helping tinnitus patients
- Causal_Inference_Nof1_trial_acne Public
R code used for the data analysis presented in the manuscript "Causal inference for N-of-1 trials" (https://arxiv.org/pdf/2406.10360)
- sinot Public
In this project I created python scripts and functions to simulate n of 1 studies based on given parameters
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