Uzay Kaymak

Professor of Information Systems in the Healthcare

Eindhoven University of Technology

Netherlands

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About

Uzay Kaymak is a Professor of Information Systems in the Healthcare at Technische Universiteit Eindhoven, Netherlands. His research areas include predictive modeling in healthcare, explainable artificial intelligence, and data-driven analysis of clinical records. Recent publications feature topics such as perioperative patient deterioration, fuzzy inference systems, and automated reinforcement learning in dynamic pricing.

Articles (20)

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2025

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2024

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2024

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2024

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2024

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2024

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2024

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2022

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2022

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2022

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2022

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2022

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2021

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2021

Collaborators (12)

Sicui Zhang

Eindhoven University of Technology

NETHERLANDS

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Simona Turco

Assistant Professor at Eindhoven University of Technology

Eindhoven University of Technology

NETHERLANDS

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Eveline Mestrom

Eindhoven University of Technology

NETHERLANDS

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Hussein Abbass

University of New South Wales

AUSTRALIA

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Krzysztof Dyczkowski

Adam Mickiewicz University

POLAND

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Yingqian Zhang

Associate Professor of AI for decision making

Eindhoven University of Technology

NETHERLANDS

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Alp Akcay

Eindhoven University of Technology

NETHERLANDS

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Danilo Ferreira de Carvalho

Eindhoven University of Technology

NETHERLANDS

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Lukas Dekker

Eindhoven University of Technology

NETHERLANDS

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Massimo Mischi

Professor at Eindhoven University of Technology

Eindhoven University of Technology

NETHERLANDS

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Pieter Van Gorp

Eindhoven University of Technology

NETHERLANDS

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Joaquin Vanschoren

Eindhoven University of Technology

NETHERLANDS

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Uzay Kaymak

Research Interests

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About

Articles (20)

Validation of the advanced alert monitor in a Dutch hospital using local optimization and refinement of the outcome definition

Re-ordered fuzzy conformance checking for uncertain clinical records

Python library for interval-valued fuzzy inference

Editorial: From Explainable Artificial Intelligence (xAI) to Understandable Artificial Intelligence (uAI)

Topic Specificity

Predictive modeling of perioperative patient deterioration:

A framework for approximate product search using faceted navigation and user preference ranking

An Automated Deep Reinforcement Learning Pipeline for Dynamic Pricing

Data-driven meal events detection using blood glucose response patterns

Automated Reinforcement Learning

Fuzzy multi-perspective conformance checking for business processes

Setting Reserve Prices in Second-Price Auctions with Unobserved Bids

A Markov model for inferring event types on diabetes patients data

Setting Reserve Prices in Second-Price Auctions with Unobserved Bids

Computing alignments with maximum synchronous moves via replay in coordinate planes

Dynamic Ad Network Ordering Method Using Reinforcement Learning

The Impact of Variable Selection and Transformation on the Interpretability and Accuracy of Fuzzy Models

Topic Modeling for Interpretable Text Classification From EHRs

Low-Regret Algorithms for Strategic Buyers with Unknown Valuations in Repeated Posted-Price Auctions

Maximizing revenue for publishers using header bidding and ad exchange auctions

Collaborators (12)

Sicui Zhang

Simona Turco

Eveline Mestrom

Hussein Abbass

Krzysztof Dyczkowski

Yingqian Zhang

Alp Akcay

Danilo Ferreira de Carvalho

Lukas Dekker

Massimo Mischi

Pieter Van Gorp

Joaquin Vanschoren

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