The potential for the use of AI is dramatic especially as it can assist family clinicians who are usually overloaded with patients to make better choices for treatment of their type 2 patients in order to help prevent hyperglycemia, hypertension and CV risk outcomes.
The ABC model provides a Bayesian framework to infer multimorbidity associations between health conditions from Electronic Health Records.
Analysis of healthcare utilisation by patients with type 1 and type 2 diabetes
My first repository on GitHub
Voice-first AI companion for safer chronic-care follow-up and human-in-the-loop support.
Statistical code to replicate the analyses in "The Presence and Impact of Multimorbidity Clusters on Adverse Outcome Across the Spectrum of Kidney Function".
This toolbox is part of the work implemented in the MSc thesis project: Classification and Characterization of the Effect of Migraine through Functional Connectivity Characteristics: Application to EEG Recordings from a Multimorbid Clinical Sample. ------- Authors: Ioannis Ziogas & Charalampos Lamprou Copyright (C) 2022, SPBTU,ECE,AUTh
Open-access scholarly review on multimorbidity / Открытый научный обзор по мультиморбидности
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