semese
Postdoctoral Researcher in Machine Learning Applied to the Medical Domain
Medical University of ViennaAustria
Pinned Repositories
HeterogeneousHMM
Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Supervised training supported. Easily extendable with other types of probablistic models.
anxiety_prediction
Code and examples for "Shift in Social Media App Usage During COVID-19 Lockdown and Clinical Anxiety Symptoms: Machine Learning–Based Ecological Momentary Assessment Study"
functionality_prediction
A classical LR-based approach and a DL-model for WHODAS 2.0 functionality prediction from digital biomarkers
HospiNet
Hospital Network Simulations in France
mood_prediction
Code and examples for "Predicting Emotional State Using Behavioural Markers Derived from Passively Sensed Data: a Data-Driven Approach"
semese's Repositories
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