Personal vid Högskolan
Alexander Galozy
Postdoctoral Position
( School of Information Technology )
Working with
My research focuses on Reinforcement Learning in the field of Artificial Intelligence. My work during my PhD studies focused on providing patients with personalized adaptive interventions. I employ and develop Bandit algorithms that learn quickly from little data.
Personal
Latest publications
Artikel i tidskrift
Article in journal
Factors influencing hospitalization or emergency department visits and mortality in type 2 diabetes following the onset of new cardiovascular diagnoses in a population-based study
(2024) PublishedInformation-gathering in latent bandits
(2023) PublishedPatterns and Predictors Associated With Long-Term Glycemic Control in Pediatric and Young Adult Patients with Type 1 Diabetes
(2022) PublishedBetter Glycemic Control and Higher Use of Advanced Diabetes Technology in Age Group 0-17 Yrs Compared to 18-25 Yrs with Type 1 Diabetes
(2022) PublishedImproving Medication Adherence Through Adaptive Digital Interventions (iMedA) in Patients With Hypertension : Protocol for an Interrupted Time Series Study
(2021) PublishedPrediction and pattern analysis of medication refill adherence through electronic health records and dispensation data
(2020) PublishedPitfalls of medication adherence approximation through EHR and pharmacy records : Definitions, data and computation
(2020) Published
Doktorsavhandling, sammanläggning
Doctoral thesis, comprehensive summary
Mobile Health Interventions through Reinforcement Learning
(2023)
Konferensbidrag
Conference paper
Lonely road : speculative challenges for a social media robot aimed to reduce driver loneliness
(2021)Towards Understanding ICU Treatments Using Patient Health Trajectories
(2019)
Licentiatavhandling, sammanläggning
Licentiate thesis, comprehensive summary
Data-driven personalized healthcare : Towards personalized interventions via reinforcement learning for Mobile Health
(2021)
Manuskript (preprint)
Manuscript (preprint)
Corrupted Contextual Bandits with Action Order Constraints
()A New Bandit Setting Balancing Information from State Evolution and Corrupted Context
()Beyond Random Noise : Insights on Anonymization Strategies from a Latent Bandit Study
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