Markus Bertl

According to our database, Markus Bertl authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluation of deep learning-based depression detection using medical claims data.

Markus Bertl, Nzamba Bignoumba, Peeter Ross, Sadok Ben Yahia, Dirk Draheim

Artif. Intell. Medicine, January, 2024

2023

Future Opportunities for Systematic AI Support in Healthcare.

Markus Bertl, Gunnar Piho, Dirk Draheim, Peeter Ross, Ludwig Pechmann, Nicholas Bucciarelli, Rahul Sharma

Proceedings of the Bridging the Gap Between AI and Reality, 2023

Challenges for AI in Healthcare Systems.

Markus Bertl, Yngve Lamo, Martin Leucker, Tiziana Margaria, Esfandiar Mohammadi, Suresh Kumar Mukhiya, Ludwig Pechmann, Gunnar Piho, Fazle Rabbi

Proceedings of the Bridging the Gap Between AI and Reality, 2023

Finding Indicator Diseases of Psychiatric Disorders in BigData using Clustered Association Rule Mining.

Markus Bertl, Mahtab Shahin, Peeter Ross, Dirk Draheim

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

How Domain Engineering Can Help to Raise Adoption Rates of Artificial Intelligence in Healthcare.

Markus Bertl, Toomas Klementi, Gunnar Piho, Peeter Ross, Dirk Draheim

Proceedings of the Information Integration and Web Intelligence, 2023

Evaluation of Data Quality in the Estonian National Health Information System for Digital Decision Support.

Markus Bertl, Kristian Juha Ismo Kankainen, Gunnar Piho, Dirk Draheim, Peeter Ross

Proceedings of the 3rd International Health Data Workshop (HEDA 2023) co-located with Software Technologies: Applications and Foundations (STAF 2023), 2023

2022

A survey on AI and decision support systems in psychiatry - Uncovering a dilemma.

Markus Bertl, Peeter Ross, Dirk Draheim

Expert Syst. Appl., 2022

Detecting Simpson's Paradox: A Step Towards Fairness in Machine Learning.

Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, Markus Bertl, Ankit Vidyarthi, Ashwani Kumar, Dirk Draheim

Proceedings of the New Trends in Database and Information Systems, 2022

2021

Predicting Psychiatric Diseases Using AutoAI: A Performance Analysis Based on Health Insurance Billing Data.

Markus Bertl, Peeter Ross, Dirk Draheim

Proceedings of the Database and Expert Systems Applications, 2021