Predicting Psychiatric Diseases Using AutoAI: A Performance Analysis Based on Health Insurance Billing Data. - Markus Bertl; Peeter Ross; Dirk Draheim (DEXA (1), 2021)

Detecting Simpson's Paradox: A Step Towards Fairness in Machine Learning. - Rahul Sharma 011; Minakshi Kaushik; Sijo Arakkal Peious; Markus Bertl; Ankit Vidyarthi; Ashwani Kumar 004; Dirk Draheim (ADBIS (Short Papers), 2022)

A survey on AI and decision support systems in psychiatry - Uncovering a dilemma. - Markus Bertl; Peeter Ross; Dirk Draheim (Expert Syst. Appl., 2022)

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 (HEDA@STAF, 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 (iiWAS, 2023)

Finding Indicator Diseases of Psychiatric Disorders in BigData using Clustered Association Rule Mining. - Markus Bertl; Mahtab Shahin; Peeter Ross; Dirk Draheim (SAC, 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 001 (AISoLA (Selected Papers), 2023)

Future Opportunities for Systematic AI Support in Healthcare. - Markus Bertl; Gunnar Piho; Dirk Draheim; Peeter Ross; Ludwig Pechmann; Nicholas Bucciarelli; Rahul Sharma 011 (AISoLA (Selected Papers), 2023)

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, 2024)

DatApollo: Orchestration of Serverless Functions for Scalable Data Mining. - Mahtab Shahin; Markus Bertl; Nasim Janatian; Juan Aznar-Poveda; Syed Attique Shah; Thomas Fahringer; Sijo Arakkal Peious; Dirk Draheim (IEEE Access, 2025)

Implementing Large Quantum Boltzmann Machines as Generative AI Models for Dataset Balancing. - Salvatore Sinno; Markus Bertl; Arati Sahoo; Bhavika Bhalgamiya; Thomas Groß; Nicholas Chancellor (CoRR, 2025)

Quantum Machine Learning in Precision Medicine and Drug Discovery - A Game Changer for Tailored Treatments? - Markus Bertl; Alan Mott; Salvatore Sinno; Bhavika Bhalgamiya (CoRR, 2025)